house_specifications

Old to New Titles

Years	ADDRESS	Q1	Q2	Q3	Q4	Q4A	Q4B	Q4_1	Q5_01	Q5_02	Q5_03	Q5_04	Q5_05	Q5_06	Q5_07	Q5_08	Q5_09	Q5_10	Q5_11	Q5_12	Q5_13	Q5_14	Q5_15	Q5_16	Q5_17	Q5_18	Q6_01	Q6_02	Q6_03	Q6_04	Q6_05	Q6_06	Q6_07	Q6_08	Q6_09	Q6_1	Q6_10	Q6_2	Q6_3	Q6_4	Q6_5	Q6_6	Q6_7	Q6_8	Q6_9	Q7A	Q7B	Q8_1	Q8_2_1	Q8_2_2	Q8_2_3
1369-1374	ID	Tenure	Number_of_Rooms	House_Area		Main_Materials_1	Main_Materials_2		Car	Motorcycle	Bicycle	Sewing_Machine	Radio	Cassette	Black_and_White_TV	Color_TV	Freezer	Refrigerator	Oven	Vacuum_Cleaner	Washing_Machine															Pipe_Water		Electricity	Natural_Gas	Bathroom	Air_Conditioner	Phone	Central_Heating	Kitchen		Cooking_Fuel	Heating_Fuel
1375-1376	ID	Tenure	Number_of_Rooms	House_Area		Main_Materials_1	Main_Materials_2		Car	Motorcycle	Bicycle	Sewing_Machine	Radio	Cassette	Black_and_White_TV	Color_TV	Freezer	Refrigerator	Oven	Vacuum_Cleaner	Washing_Machine	VCR														Pipe_Water		Electricity	Natural_Gas	Bathroom	Air_Conditioner	Phone	Central_Heating	Kitchen		Cooking_Fuel	Heating_Fuel
1377	ID	Tenure	Number_of_Rooms	House_Area	Structure_Type			Structure_Main_Materials	Car	Motorcycle	Bicycle	Sewing_Machine	Radio	Cassette	Black_and_White_TV	Color_TV	Freezer	Refrigerator	Oven	Vacuum_Cleaner	Washing_Machine	VCR	PC													Pipe_Water		Electricity	Natural_Gas	Bathroom	Air_Conditioner	Phone	Central_Heating	Kitchen	Cellphone	Cooking_Fuel	Heating_Fuel
1378-1380	ID	Tenure	Number_of_Rooms	House_Area	Structure_Type			Structure_Main_Materials	Car	Motorcycle	Bicycle	Sewing_Machine	Radio	Cassette	Black_and_White_TV	Color_TV	Freezer	Refrigerator	Oven	Vacuum_Cleaner	Washing_Machine	VCR	PC	Cellphone												Pipe_Water		Electricity	Natural_Gas	Bathroom	Air_Conditioner	Phone	Central_Heating	Kitchen		Cooking_Fuel	Heating_Fuel	Cooperative_Members	Consumption_Cooperative	House_Cooperative	Other_Cooperative
1381-1382	ID	Tenure	Number_of_Rooms	House_Area	Structure_Type			Structure_Main_Materials	Car	Motorcycle	Bicycle	Sewing_Machine	Radio	Cassette	Black_and_White_TV	Color_TV	Freezer	Refrigerator	Oven	Vacuum_Cleaner	Washing_Machine	VCR	PC	Cellphone	Fan	Portable_Evaporative_AC	Pipe_Water	Electricity	Natural_Gas	Bathroom	Air_Conditioner	Phone	Central_Heating	Kitchen	Central_Air_Conditioner		Internet									Cooking_Fuel	Heating_Fuel

Years	ADDRESS	DYCOL001	DYCOL002	DYCOL01	DYCOL02	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26	DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40	DYCOL41	DYCOL42	DYCOL42_14	DYCOL43	DYCOL44	DYCOL45	DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52	DYCOL53	DYCOL54	DYCOL55	DYCOL56	DYCOL57	DYCOL58	DYCOL59	DYCOL60	DYCOL61
1383	ID			Tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Cooking_Fuel	Heating_Fuel
1384	ID			Tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Cooking_Fuel	Heating_Fuel	Party_Month	Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month		Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Other_Event_mMnth	Other_Event_Year	No_Event_Month	No_Event_Year
1385	ID			Tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Cooking_Fuel	Heating_Fuel	Party_Month		Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month	Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Other_Event_mMnth	Other_Event_Year	No_Event_Year
1386	ID			Tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage	Cooking_Fuel	Heating_Fuel		Hotwater_Fuel	Party_Month	Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month	Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Other_Event_mMnth	Other_Event_Year	No_Event_Year
1387-1388	ID			Tenure	Other_tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage	Cooking_Fuel		Heating_Fuel	Hotwater_Fuel	Party_Month	Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month	Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Other_Event_mMnth	Other_Event_Year	No_Event_Year
1389-1390	ID			Tenure	Other_tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage	Cooking_Fuel		Heating_Fuel	Hotwater_Fuel	Party_Month	Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month	Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Other_Event_mMnth	Other_Event_Year	No_Event_Year	Other_Event_Name
1391-1395	ID			Tenure	Other_tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	Microwave_Oven	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage		Cooking_Fuel	Heating_Fuel	Hotwater_Fuel	Party_Month	Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month	Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Surgery_Year	Other_Event_mMnth	Other_Event_Year	Other_Event_Name	No_Event_Year
1396-1400	ID			Tenure		Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	Microwave_Oven	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage		Cooking_Fuel	Heating_Fuel	Hotwater_Fuel
1401	ID	Dwelling_Type	Other_Dwelling_Types	Tenure		Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	Microwave_Oven	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage	Elevator	Cooking_Fuel	Heating_Fuel	Hotwater_Fuel

New to Old Titles

Years	ID	Dwelling_Type	Other_Dwelling_Types	Tenure	Number_of_Rooms	House_Area	Structure_Type	Structure_Main_Materials	Car	Motorcycle	Bicycle	Radio	Cassette	Black_and_White_TV	Color_TV	VCR	PC	Cellphone	Freezer	Refrigerator	Freezer_Refrigrator	Oven	Vacuum_Cleaner	Washing_Machine	Sewing_Machine	Fan	Portable_Evaporative_AC	Portable_AC	Dishwasher	Microwave_Oven	No_Appliances	Pipe_Water	Electricity	Natural_Gas	Phone	Internet	Bathroom	Kitchen	Air_Conditioner	Central_Air_Conditioner	Central_Heating	Water_Heater	Split_Air_Conditioner	Sewerage	Elevator	Cooking_Fuel	Heating_Fuel	Hotwater_Fuel	Main_Materials_1	Main_Materials_2	Cooperative_Members	Consumption_Cooperative	House_Cooperative	Other_Cooperative	Party_Month	Party_Year	Ceremony_Month	Ceremony_Year	Homerepair_Month	Homerepair_Year	Ziarati_Trip_Month	Ziarati_Trip_Year	Foreign_Trip_Month	Foreign_Trip_Year	Surgery_Month	Other_Event_mMnth	Other_Event_Year	No_Event_Month	No_Event_Year	Other_tenure	Other_Event_Name	Surgery_Year
1369-1374	ADDRESS			Q1	Q2	Q3			Q5_01	Q5_02	Q5_03	Q5_05	Q5_06	Q5_07	Q5_08				Q5_09	Q5_10		Q5_11	Q5_12	Q5_13	Q5_04							Q6_1	Q6_2	Q6_3	Q6_6		Q6_4	Q6_8	Q6_5		Q6_7					Q7A	Q7B		Q4A	Q4B
1375-1376	ADDRESS			Q1	Q2	Q3			Q5_01	Q5_02	Q5_03	Q5_05	Q5_06	Q5_07	Q5_08	Q5_14			Q5_09	Q5_10		Q5_11	Q5_12	Q5_13	Q5_04							Q6_1	Q6_2	Q6_3	Q6_6		Q6_4	Q6_8	Q6_5		Q6_7					Q7A	Q7B		Q4A	Q4B
1377	ADDRESS			Q1	Q2	Q3	Q4	Q4_1	Q5_01	Q5_02	Q5_03	Q5_05	Q5_06	Q5_07	Q5_08	Q5_14	Q5_15	Q6_9	Q5_09	Q5_10		Q5_11	Q5_12	Q5_13	Q5_04							Q6_1	Q6_2	Q6_3	Q6_6		Q6_4	Q6_8	Q6_5		Q6_7					Q7A	Q7B
1378-1380	ADDRESS			Q1	Q2	Q3	Q4	Q4_1	Q5_01	Q5_02	Q5_03	Q5_05	Q5_06	Q5_07	Q5_08	Q5_14	Q5_15	Q5_16	Q5_09	Q5_10		Q5_11	Q5_12	Q5_13	Q5_04							Q6_1	Q6_2	Q6_3	Q6_6		Q6_4	Q6_8	Q6_5		Q6_7					Q7A	Q7B				Q8_1	Q8_2_1	Q8_2_2	Q8_2_3
1381-1382	ADDRESS			Q1	Q2	Q3	Q4	Q4_1	Q5_01	Q5_02	Q5_03	Q5_05	Q5_06	Q5_07	Q5_08	Q5_14	Q5_15	Q5_16	Q5_09	Q5_10		Q5_11	Q5_12	Q5_13	Q5_04	Q5_17	Q5_18					Q6_01	Q6_02	Q6_03	Q6_06	Q6_10	Q6_04	Q6_08	Q6_05	Q6_09	Q6_07					Q7A	Q7B
1383	ADDRESS			DYCOL01	DYCOL02	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17		DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23				DYCOL24	DYCOL25	DYCOL26	DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34					DYCOL35	DYCOL36
1384	ADDRESS			DYCOL01	DYCOL02	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24				DYCOL25	DYCOL26	DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35					DYCOL36	DYCOL37								DYCOL38	DYCOL39	DYCOL40	DYCOL41	DYCOL42	DYCOL43	DYCOL44	DYCOL45	DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52
1385	ADDRESS			DYCOL01	DYCOL02	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26		DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39			DYCOL40	DYCOL41								DYCOL42	DYCOL43	DYCOL44	DYCOL45	DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52	DYCOL53	DYCOL54		DYCOL55
1386	ADDRESS			DYCOL01	DYCOL02	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26		DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40		DYCOL41	DYCOL42	DYCOL43							DYCOL44	DYCOL45	DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52	DYCOL53	DYCOL54	DYCOL55	DYCOL56		DYCOL57
1387-1388	ADDRESS			DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26	DYCOL27		DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40	DYCOL41		DYCOL42	DYCOL43	DYCOL44							DYCOL45	DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52	DYCOL53	DYCOL54	DYCOL55	DYCOL56	DYCOL57		DYCOL58	DYCOL02
1389-1390	ADDRESS			DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26	DYCOL27		DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40	DYCOL41		DYCOL42	DYCOL43	DYCOL44							DYCOL45	DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52	DYCOL53	DYCOL54	DYCOL55	DYCOL56	DYCOL57		DYCOL58	DYCOL02	DYCOL59
1391-1395	ADDRESS			DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26	DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40	DYCOL41	DYCOL42		DYCOL43	DYCOL44	DYCOL45							DYCOL46	DYCOL47	DYCOL48	DYCOL49	DYCOL50	DYCOL51	DYCOL52	DYCOL53	DYCOL54	DYCOL55	DYCOL56	DYCOL58	DYCOL59		DYCOL61	DYCOL02	DYCOL60	DYCOL57
1396-1400	ADDRESS			DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26	DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40	DYCOL41	DYCOL42		DYCOL43	DYCOL44	DYCOL45
1401	ADDRESS	DYCOL001	DYCOL002	DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10	DYCOL11	DYCOL12	DYCOL13	DYCOL14	DYCOL15	DYCOL16	DYCOL17	DYCOL18	DYCOL19	DYCOL20	DYCOL21	DYCOL22	DYCOL23	DYCOL24	DYCOL25	DYCOL26	DYCOL27	DYCOL28	DYCOL29	DYCOL30	DYCOL31	DYCOL32	DYCOL33	DYCOL34	DYCOL35	DYCOL36	DYCOL37	DYCOL38	DYCOL39	DYCOL40	DYCOL41	DYCOL42	DYCOL42_14	DYCOL43	DYCOL44	DYCOL45

Columns Details

ID

Column Metadata

1363:
  column_code: ADDRESS
  type: UInt64

Column Codes

Years	ID
1369-1401	ADDRESS

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1369	18454	590813	510151	1001	224050	1.23422e+06
1370	18704	588829	509843	1001	224008	1.23422e+06
1371	18674	594208	509271	1001	232004	1.23422e+06
1372	12770	627910	510518	1001	1.00402e+06	1.23422e+06
1373	19910	728034	510213	1001	1.04401e+06	1.24404e+06
1374	36586	6.83297e+06	5.1047e+06	10001	1.03102e+07	1.24401e+07
1375	21964	615909	520965	1001	244060	1.24404e+06
1376	21950	615842	521123	1001	254004	1.25406e+06
1377	17477	5.94024e+07	5.18423e+07	11001	2.60132e+07	1.27074e+08
1378	27464	6.01145e+07	5.14186e+07	11001	2.6011e+07	1.27074e+08
1379	26941	5.93681e+07	5.129e+07	11001	2.5012e+07	1.27074e+08
1380	26961	5.93893e+07	5.13144e+07	11001	2.5014e+07	1.27074e+08
1381	32152	6.09283e+07	5.12749e+07	11001	2.60331e+07	1.27074e+08
1382	23134	6.14415e+07	5.132e+07	11001	2.60421e+07	1.27114e+08
1383	24534	6.14013e+07	5.12221e+07	11001	2.6034e+07	1.27114e+08
1384	26895	6.27002e+07	5.12181e+07	11001	2.8023e+07	1.29214e+08
1385	30910	6.03793e+07	5.14124e+07	11001	2.70811e+07	1.29214e+08
1386	31283	6.2745e+07	5.08555e+07	11001	2.9031e+07	1.29214e+08
1387	39088	1.65421e+09	5.05387e+08	1e+09	2.00018e+09	2.29786e+09
1388	37045	1.63934e+09	5.04916e+08	1e+09	1.29008e+09	2.29025e+09
1389	38950	1.65463e+09	5.03447e+08	1e+09	2.00008e+09	2.29013e+09
1390	38513	1.66205e+09	5.04388e+08	1e+09	2.00011e+09	2.30013e+09
1391	38192	1.66292e+09	5.0436e+08	1e+09	2.00012e+09	2.30013e+09
1392	38331	1.65589e+10	5.03943e+09	1.0001e+10	2.0004e+10	2.30047e+10
1393	39856	1.65324e+10	5.03921e+09	1.0001e+10	2.0003e+10	2.30047e+10
1394	39857	1.6532e+10	5.03922e+09	1.0001e+10	2.0003e+10	2.30047e+10
1395	39864	1.65315e+10	5.03907e+09	1.0001e+10	2.0003e+10	2.30047e+10
1396	37962	1.65666e+10	5.03895e+09	1.0001e+10	2.0004e+10	2.30047e+10
1397	38960	1.62743e+10	5.04137e+09	1.0001e+10	1.29034e+10	2.30067e+10
1398	38328	1.63054e+10	5.04218e+09	1.0001e+10	1.29054e+10	2.30067e+10
1399	37557	1.63697e+10	5.03728e+09	1.0001e+10	1.29094e+10	2.30067e+10
1400	40968	1.62432e+10	5.03653e+09	1.0001e+10	1.29014e+10	2.30067e+10
1401	37951	1.63471e+10	5.03962e+09	1.0001e+10	1.29074e+10	2.30067e+10

Dwelling_Type

Column Metadata

1363:
  column_code: DYCOL001
  type: category
  categories:
    1: Apartment_Unit
    2: Non_Apartment_Unit
    3: Other

Column Codes

Years	Dwelling_Type
1369-1400
1401	DYCOL001

Summary Statistics

category data

Year	Non_Apartment_Unit	Apartment_Unit	Other
1401	83.17	16.82	0.01

Categories

	1401
1	Apartment_Unit
2	Non_Apartment_Unit
3	Other

Other_Dwelling_Types

Column Metadata

1363:
  column_code: DYCOL002
  type: string

Column Codes

Years	Other_Dwelling_Types
1369-1400
1401	DYCOL002

Summary Statistics

string data

Year		کپر	زاغه
1401	99.99	0.01	0

Tenure

Column Metadata

1363:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1364:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1365:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1366:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1367:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1368:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1369:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1370:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1371:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1372:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1373:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1374:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1375:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1376:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1377:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1378:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1379:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1380:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1381:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1382:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1383:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1384:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1385:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1386:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1387:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1388:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1389:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1390:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1391:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1392:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1393:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1394:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1395:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1396:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1397:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1398:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1399:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1400:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other
1401:
  column_code: DYCOL01
  type: category
  categories:
    1: Owned_Estate_Land
    2: Owned_Estate
    3: Rent
    4: Mortgage
    5: Service
    6: Free
    7: Other

Column Codes

Years	Tenure
1369-1382	Q1
1383-1401	DYCOL01

Summary Statistics

category data

Year	Owned_Estate_Land	Rent	Free	Mortgage	Owned_Estate	Service	Other	nan
1369	79.96	6.89	0.75	2.67	2	7.73
1370	81.2	6.9	0.66	2.64	1.66	6.95		0.01
1371	78.26	7.72	0.85	2.22	1.76	9.2
1372	78.38	8.72	0.67	1.94	1.8	8.49
1373	77.59	9.4	1.13	2.32	1.9	7.67
1374	80.11	8.26	1.03	2.1	1.33	7.18
1375	80.01	8.16	1.22	1.93	1.23	7.44
1376	77.65	9.14	1.49	2.28	1.07	8.37
1377	80.27	7.66	1.64	2.19	0.71	7.54
1378	80.88	8.17	1.29	2.02	0.44	7.2
1379	78.67	9.25	1.67	2.39	0.48	7.54
1380	78.85	9.56	1.86	2.11	0.49	7.13
1381	79.18	10.18	1.84	1.78	0.27	6.76
1382	78.76	9.51	2.13	1.96	0.18	7.47
1383	78.11	9.53	6.77	2.78	0.59	2.03	0.2
1384	76.89	10.31	6.66	3.05	0.9	2.11	0.1
1385	77.12	10.24	7.15	2.7	0.73	1.91	0.14
1386	76.08	10.97	7.36	2.88	0.68	1.9	0.13
1387	75.49	10.24	8.8	3.09	0.38	1.91	0.09
1388	76.36	9.86	8.94	2.52	0.17	1.57	0.09	0.48
1389	75.39	9.7	8.06	2.98	0.48	1.66	0.03	1.71
1390	77.55	9.93	7.28	2.96	0.51	1.73	0.04
1391	79.07	9.21	6.82	2.92	0.39	1.54	0.04
1392	76.02	10.29	8.57	3.25	0.69	1.07	0.06	0.04
1393	74.33	9.09	8.29	3.04	0.34	0.93	0.02	3.97
1394	75.64	8.91	7.3	2.95	0.25	0.83	0.09	4.03
1395	75.31	8.79	7.07	3.26	0.26	0.88	0.12	4.31
1396	78.77	9.01	7.37	3.55	0.36	0.83	0.11
1397	75.6	10.13	8.16	4.17	0.53	1.11	0.3
1398	77.5	9.24	7.77	3.81	0.5	1.05	0.13
1399	78.08	9.24	7.76	3.57	0.31	0.96	0.08
1400	72.72	8.76	6.88	3.08	0.4	0.79	0.1	7.27
1401	78.89	9.38	6.64	3.24	0.85	0.84	0.16	0.01

Categories

	1369-1401
1	Owned_Estate_Land
2	Owned_Estate
3	Rent
4	Mortgage
5	Service
6	Free
7	Other

Number_of_Rooms

Column Metadata

1363:
  column_code: Q2
  type: UInt8
1383:
  column_code: DYCOL02
  type: UInt8
1384:
  column_code: DYCOL02
  type: UInt8
1385:
  column_code: DYCOL02
  type: UInt8
1386:
  column_code: DYCOL02
  type: UInt8
1387:
  column_code: DYCOL03
  type: UInt8
1388:
  column_code: DYCOL03
  type: UInt8
1389:
  column_code: DYCOL03
  type: UInt8
1390:
  column_code: DYCOL03
  type: UInt8
1391:
  column_code: DYCOL03
  type: UInt8
1392:
  column_code: DYCOL03
  type: UInt8
1393:
  column_code: DYCOL03
  type: UInt8
1394:
  column_code: DYCOL03
  type: UInt8
1395:
  column_code: DYCOL03
  type: UInt8
1396:
  column_code: DYCOL03
  type: UInt8
1397:
  column_code: DYCOL03
  type: UInt8
1398:
  column_code: DYCOL03
  type: UInt8
1399:
  column_code: DYCOL03
  type: UInt8
1400:
  column_code: DYCOL03
  type: UInt8
1401:
  column_code: DYCOL03
  type: UInt8

Column Codes

Years	Number_of_Rooms
1369-1382	Q2
1383-1386	DYCOL02
1387-1401	DYCOL03

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1369	18454	3.25	1.54	0	3	53
1370	18704	3.34	2.02	0	3	70
1371	18674	3.28	1.66	0	3	65
1372	12770	3.49	1.64	1	3	70
1373	19910	3.62	1.71	1	4	71
1374	36586	3.63	1.53	0	4	20
1375	21964	3.51	1.51	0	3	30
1376	21950	3.51	1.51	1	3	60
1377	17477	3.56	1.46	1	4	32
1378	27464	3.59	1.45	0	4	31
1379	26941	3.52	1.39	0	3	30
1380	26961	3.52	1.55	1	3	99
1381	32152	3.56	1.42	0	3	44
1382	23134	3.51	1.31	1	3	15
1383	24534	3.48	1.3	1	3	30
1384	26895	3.51	1.29	1	3	14
1385	30910	3.49	1.26	1	3	15
1386	31283	3.46	1.25	1	3	18
1387	39088	3.35	1.25	1	3	70
1388	36868	3.39	1.21	1	3	13
1389	38257	3.41	1.17	1	3	15
1390	38513	3.43	1.13	1	3	13
1391	38192	3.5	1.12	1	3	14
1392	38331	3.49	1.07	0	3	12
1393	39856	3.4	1.24	0	3	12
1394	38252	3.57	1.02	1	4	12
1395	39864	3.42	1.22	0	4	11
1396	37962	3.59	0.99	1	4	10
1397	38960	3.6	1.01	1	4	12
1398	38328	3.6	0.96	1	4	12
1399	37557	3.6	0.93	1	4	12
1400	40968	3.36	1.29	0	4	10
1401	37951	3.59	0.92	0	4	10

House_Area

Column Metadata

1363:
  column_code: Q3
  type: UInt16
1383:
  column_code: DYCOL03
  type: UInt16
1384:
  column_code: DYCOL03
  type: UInt16
1385:
  column_code: DYCOL03
  type: UInt16
1386:
  column_code: DYCOL03
  type: UInt16
1387:
  column_code: DYCOL04
  type: UInt16
1388:
  column_code: DYCOL04
  type: UInt16
1389:
  column_code: DYCOL04
  type: UInt16
1390:
  column_code: DYCOL04
  type: UInt16
1391:
  column_code: DYCOL04
  type: UInt16
1392:
  column_code: DYCOL04
  type: UInt16
1393:
  column_code: DYCOL04
  type: UInt16
1394:
  column_code: DYCOL04
  type: UInt16
1395:
  column_code: DYCOL04
  type: UInt16
1396:
  column_code: DYCOL04
  type: UInt16
1397:
  column_code: DYCOL04
  type: UInt16
1398:
  column_code: DYCOL04
  type: UInt16
1399:
  column_code: DYCOL04
  type: UInt16
1400:
  column_code: DYCOL04
  type: UInt16
1401:
  column_code: DYCOL04
  type: UInt16

Column Codes

Years	House_Area
1369-1382	Q3
1383-1386	DYCOL03
1387-1401	DYCOL04

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1369	18454	85.6	60.4	3	75	999
1370	18702	86.66	59.3	0	78	999
1371	18674	85.98	58.52	0	75	900
1372	12770	87.34	58.67	2	75	840
1373	19910	91.81	59.53	3	80	851
1374	36586	94.09	59.09	0	80	950
1375	21964	89.8	55.76	2	80	800
1376	21950	90.2	56.8	4	80	999
1377	17477	90.22	54.33	4	80	990
1378	27464	91.13	55.92	0	80	980
1379	26941	89.31	52.62	0	80	998
1380	26961	90.51	53.13	2	80	999
1381	32152	92.31	52.58	0	85	950
1382	23134	92.8	49.83	6	90	745
1383	24534	93.65	50.78	6	90	600
1384	26894	93.34	51.84	5	85	880
1385	30910	92.72	50.33	6	85	900
1386	31283	92.99	50.89	5	87	900
1387	39088	92.49	49.62	2	85	950
1388	36868	91.94	47.51	5	85	700
1389	38285	91.79	46.06	3	85	700
1390	38513	93.28	45.64	6	90	990
1391	38192	94.5	44.38	5	90	800
1392	38331	92.66	40.88	0	90	710
1393	39856	90.06	44.18	0	90	600
1394	38252	94.13	39.97	6	90	550
1395	39864	90.33	43.12	0	90	500
1396	37962	94.81	38.73	6	90	400
1397	38960	95.61	39.73	6	90	800
1398	38328	95.52	38.74	9	90	800
1399	37557	94.85	36.9	9	90	800
1400	40968	88.61	42.21	0	90	500
1401	37947	96.29	35.89	5	92	700

Structure_Type

Column Metadata

1363:
  column_code: Q4
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1383:
  column_code: DYCOL04
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1384:
  column_code: DYCOL04
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1385:
  column_code: DYCOL04
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1386:
  column_code: DYCOL04
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1387:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1388:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1389:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1390:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1391:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1392:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1393:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1394:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1395:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1396:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1397:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1398:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1399:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1400:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other
1401:
  column_code: DYCOL05
  type: category
  categories:
    1: Metal
    2: Reinforced_Concrete
    3: Other

Column Codes

Years	Structure_Type
1369-1376
1377-1382	Q4
1383-1386	DYCOL04
1387-1401	DYCOL05

Summary Statistics

category data

Year	Other	Reinforced_Concrete	Metal	nan
1377	93.18	2.35	4.47
1378	95.3	1.66	3.04
1379	93.74	1.78	4.48
1380	93.22	2.11	4.68
1381	92.42	2.22	5.36
1382	91.55	2.87	5.57
1383	89.33	3.84	6.84
1384	87.68	4.42	7.89
1385	86.98	4.88	8.14
1386	86.14	5.51	8.35
1387	86.12	6.04	7.84
1388	87.15	5.53	6.84	0.48
1389	82.73	7.04	8.52	1.71
1390	83.29	7.43	9.27
1391	83.4	7.17	9.43
1392	78.63	10.4	10.93	0.04
1393	75.19	10.8	10.05	3.97
1394	75.1	11.48	9.39	4.03
1395	73.68	12.28	9.73	4.31
1396	75.88	13.64	10.48
1397	70.02	17.99	11.99
1398	69.16	17.95	12.89
1399	69.92	18.34	11.74
1400	64.09	17.12	11.51	7.27
1401	67.85	18.8	13.34	0.01

Categories

	1377-1401
1	Metal
2	Reinforced_Concrete
3	Other

Structure_Main_Materials

Column Metadata

1363:
  column_code: Q4_1
  type: category
  categories: null
  replace:
    0: null
    15: null
    70: null
1369:
  column_code: Q4_1
  type: category
  categories:
    1: Brick
    2: Ceramic_Block
    3: Cement_Block
    4: Concrete
    5: Iron_Beam
    6: Stone
    7: Wood
    8: Adobe
    9: Clay
    10: Other
  replace:
    0: null
    15: null
    70: null
1377:
  column_code: Q4_1
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    0: null
    15: null
    70: null
1383:
  column_code: DYCOL05
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1384:
  column_code: DYCOL05
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1385:
  column_code: DYCOL05
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1386:
  column_code: DYCOL05
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1387:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1388:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1389:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1390:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1391:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1392:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1393:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1394:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1395:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1396:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1397:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1398:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1399:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1400:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null
1401:
  column_code: DYCOL06
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null

Column Codes

Years	Structure_Main_Materials
1369-1376
1377-1382	Q4_1
1383-1386	DYCOL05
1387-1401	DYCOL06

Summary Statistics

category data

Year	Brick_and_Iron_or_Stone_and_Iron	nan	Cement_Block	Brick_and_Wood_or_Stone_and_Wood	Adobe_and_Wood	Adobe_and_Clay	All_Brick_or_Stone_and_Brick	Other	All_Wood
1377	46.65	6.82	6.56	17.34	14.49	4.86	1.14	2.04	0.1
1378	48.44	4.7	6.82	16.68	13.9	5.52	1.06	2.8	0.09
1379	46.23	6.26	7.61	16.96	13.17	5.52	0.98	3.23	0.06
1380	47.72	6.78	6.88	17.85	11.62	5.06	0.51	3.45	0.13
1381	47.79	7.58	6.85	18.25	10.97	5.11	0.69	2.71	0.07
1382	49.38	8.45	7.11	18.32	9.49	3.63	1.07	2.48	0.08
1383	46.28	10.69	8.27	17.62	8.8	4.28	1.34	2.54	0.18
1384	45.56	12.32	8.08	16.97	9.13	4.59	1.15	1.82	0.37
1385	46	13.02	7.11	16.25	10.54	4.5	1.08	1.31	0.2
1386	47.38	13.86	7	15.02	9.69	4.35	1.03	1.52	0.14
1387	49.72	13.88	7.38	14.28	7.91	3.93	1.13	1.5	0.28
1388	50.44	12.85	8.04	13.48	8.65	4.05	0.78	1.42	0.28
1389	47.72	17.24	8.8	12.44	7.46	3.65	0.57	1.96	0.16
1390	49.1	16.71	9.34	10.92	7.14	3.62	1.28	1.73	0.16
1391	50.28	16.6	9.51	11.1	6.51	3.16	1.07	1.6	0.16
1392	47.13	21.37	9.41	10.31	5.43	2.97	0.99	2.22	0.18
1393	45.67	24.81	8.64	9.84	5.19	2.54	1.01	2.19	0.1
1394	47.02	24.9	8.59	9.21	4.8	2.48	1.17	1.78	0.06
1395	46.22	26.32	8.7	8.7	4.72	2.61	1.19	1.49	0.05
1396	48.89	24.12	9.09	8.5	4.61	2.48	1.02	1.24	0.05
1397	45.58	29.98	8.73	7.76	3.71	2.04	0.81	1.3	0.07
1398	45.29	30.84	8.63	7.64	3.29	2.07	0.93	1.1	0.2
1399	46.47	30.08	8.59	7.6	3.17	2.15	0.89	0.99	0.07
1400	43.29	35.91	8.12	6.67	2.49	1.82	0.83	0.81	0.06
1401	45.8	32.15	9.29	6.56	2.69	1.74	0.94	0.77	0.06

Categories

	1377-1401
1	Brick_and_Iron_or_Stone_and_Iron
2	Brick_and_Wood_or_Stone_and_Wood
3	Cement_Block
4	All_Brick_or_Stone_and_Brick
5	All_Wood
6	Adobe_and_Wood
7	Adobe_and_Clay
8	Other

Replacements

Year	Value	Replace_Value	Frequency
1383	0	nan	3
1383	11	nan	1
1383	31	nan	1
1383	61	nan	1
1384	11	nan	1
1386	0	nan	3
1388	0	nan	2

Car

Column Metadata

1363:
  column_code: Q5_01
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL07
  type: boolean
  true_condition: 1

Column Codes

Years	Car
1369-1382	Q5_01
1383-1386	DYCOL06
1387-1401	DYCOL07

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	8.44	91.56
1370	0	8.43	91.57
1371	0	8.26	91.74
1372	0	9.03	90.97
1373	0	12.1	87.9
1374	0	10.91	89.09
1375	0	10.29	89.71
1376	0	10.48	89.52
1377	0	10.92	89.08
1378	0	10.44	89.56
1379	0	10.4	89.6
1380	0	11.16	88.84
1381	0	12.22	87.78
1382	0	13.91	86.09
1383	83.91	16.09	0
1384	82.4	17.6	0
1385	0	19.4	80.6
1386	78.9	21.1	0
1387	77.47	22.53	0
1388	76.73	23.27	0
1389	73.3	26.7	0
1390	70.71	29.29	0
1391	68.84	31.16	0
1392	67.82	32.18	0
1393	67.74	32.26	0
1394	67.21	32.79	0
1395	66.43	33.57	0
1396	62.06	37.94	0
1397	58.19	41.81	0
1398	58.38	41.62	0
1399	57.91	42.09	0
1400	59.5	40.5	0
1401	55.35	44.65	0

Motorcycle

Column Metadata

1363:
  column_code: Q5_02
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL08
  type: boolean
  true_condition: 1

Column Codes

Years	Motorcycle
1369-1382	Q5_02
1383-1386	DYCOL07
1387-1401	DYCOL08

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	12.74	87.26
1370	0	12.31	87.69
1371	0	12.5	87.5
1372	0	14.09	85.91
1373	0	13.62	86.38
1374	0	14.37	85.63
1375	0	12.88	87.12
1376	0	12.53	87.47
1377	0	13.54	86.46
1378	0	14.48	85.52
1379	0	14.78	85.22
1380	0	15.16	84.84
1381	0	16.89	83.11
1382	0	19.96	80.04
1383	77.41	22.59	0
1384	74.71	25.29	0
1385	0	26.1	73.9
1386	72.7	27.3	0
1387	73.11	26.89	0
1388	71.22	28.78	0
1389	73.54	26.46	0
1390	74.03	25.97	0
1391	74.69	25.31	0
1392	74.96	25.04	0
1393	76.17	23.83	0
1394	75.92	24.08	0
1395	76.07	23.93	0
1396	74.3	25.7	0
1397	75.85	24.15	0
1398	76.26	23.74	0
1399	77.86	22.14	0
1400	79.81	20.19	0
1401	79.13	20.87	0

Bicycle

Column Metadata

1363:
  column_code: Q5_03
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL08
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL09
  type: boolean
  true_condition: 1

Column Codes

Years	Bicycle
1369-1382	Q5_03
1383-1386	DYCOL08
1387-1401	DYCOL09

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	12.88	87.12
1370	0	12.69	87.31
1371	0	12.26	87.74
1372	0	12.96	87.04
1373	0	15.31	84.69
1374	0	14.13	85.87
1375	0	13.42	86.58
1376	0	12.72	87.28
1377	0	12.94	87.06
1378	0	14.45	85.55
1379	0	14.73	85.27
1380	0	15.69	84.31
1381	0	17.2	82.8
1382	0	18.78	81.22
1383	81.12	18.88	0
1384	81.87	18.13	0
1385	0	15.5	84.5
1386	85.61	14.39	0
1387	89.29	10.71	0
1388	89.52	10.48	0
1389	90.28	9.72	0
1390	90.22	9.78	0
1391	90.41	9.59	0
1392	92.38	7.62	0
1393	92.15	7.85	0
1394	91.74	8.26	0
1395	91.45	8.55	0
1396	90.14	9.86	0
1397	89.81	10.19	0
1398	89.67	10.33	0
1399	90.75	9.25	0
1400	91.7	8.3	0
1401	91.09	8.91	0

Radio

Column Metadata

1363:
  column_code: Q5_05
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL09
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL10
  type: boolean
  true_condition: 1

Column Codes

Years	Radio
1369-1382	Q5_05
1383-1386	DYCOL09
1387-1401	DYCOL10

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	68.85	31.15
1370	0	70.89	29.11
1371	0	72.71	27.29
1372	0	77.16	22.84
1373	0	79.07	20.93
1374	0	73.67	26.33
1375	0	70.82	29.18
1376	0	69.66	30.34
1377	0	67.36	32.64
1378	0	65.43	34.57
1379	0	64.16	35.84
1380	0	64.99	35.01
1381	0	66.47	33.53
1382	0	67.48	32.52
1383	36.41	63.59	0
1384	80.25	19.75	0
1385	0	14.48	85.52
1386	88.27	11.73	0
1387	90.35	9.65	0
1388	92.86	7.14	0
1389	93.78	6.22	0
1390	93.47	6.53	0
1391	94.47	5.53	0
1392	95.24	4.76	0
1393	95.65	4.35	0
1394	95.09	4.91	0
1395	95.64	4.36	0
1396	95.74	4.26	0
1397	95.15	4.85	0
1398	95.99	4.01	0
1399	96.13	3.87	0
1400	96.22	3.78	0
1401	95.78	4.22	0

Cassette

Column Metadata

1363:
  column_code: Q5_06
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL10
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL11
  type: boolean
  true_condition: 1

Column Codes

Years	Cassette
1369-1382	Q5_06
1383-1386	DYCOL10
1387-1401	DYCOL11

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	51.63	48.37
1370	0	57.63	42.37
1371	0	61.33	38.67
1372	0	66.75	33.25
1373	0	70.04	29.96
1374	0	64.75	35.25
1375	0	63.17	36.83
1376	0	63.42	36.58
1377	0	61.15	38.85
1378	0	59.17	40.83
1379	0	59.06	40.94
1380	0	61.28	38.72
1381	0	62.94	37.06
1382	0	64.15	35.85
1383	37.92	62.08	0
1384	43.9	56.1	0
1385	0	50.36	49.64
1386	50.07	49.93	0
1387	58.57	41.43	0
1388	64.8	35.2	0
1389	71.32	28.68	0
1390	77.62	22.38	0
1391	81.87	18.13	0
1392	88.58	11.42	0
1393	91.57	8.43	0
1394	92.01	7.99	0
1395	93.85	6.15	0
1396	94.3	5.7	0
1397	94.16	5.84	0
1398	95.88	4.12	0
1399	96.63	3.37	0
1400	97.31	2.69	0
1401	97.16	2.84	0

Black_and_White_TV

Column Metadata

1363:
  column_code: Q5_07
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL11
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL12
  type: boolean
  true_condition: 1

Column Codes

Years	Black_and_White_TV
1369-1382	Q5_07
1383-1386	DYCOL11
1387-1401	DYCOL12

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	57.08	42.92
1370	0	58.94	41.06
1371	0	58.63	41.37
1372	0	58.96	41.04
1373	0	57.39	42.61
1374	0	57.02	42.98
1375	0	54.83	45.17
1376	0	52.28	47.72
1377	0	47.49	52.51
1378	0	45.36	54.64
1379	0	41.26	58.74
1380	0	34.74	65.26
1381	0	27.41	72.59
1382	0	18.59	81.41
1383	87.47	12.53	0
1384	90.82	9.18	0
1385	0	6.62	93.38
1386	95.52	4.48	0
1387	96.69	3.31	0
1388	97.33	2.67	0
1389	98.25	1.75	0
1390	98.58	1.42	0
1391	98.91	1.09	0
1392	99	1	0
1393	99.08	0.92	0
1394	99.2	0.8	0
1395	99.22	0.78	0
1396	99.31	0.69	0
1397	99.29	0.71	0
1398	99.42	0.58	0
1399	99.5	0.5	0
1400	99.6	0.4	0
1401	99.31	0.69	0

Color_TV

Column Metadata

1363:
  column_code: Q5_08
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL12
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL13
  type: boolean
  true_condition: 1

Column Codes

Years	Color_TV
1369-1382	Q5_08
1383-1386	DYCOL12
1387-1401	DYCOL13

Summary Statistics

boolean data

Year	True	Missing	False
1369	8.69	0	91.31
1370	11.58	0	88.42
1371	16	0	84
1372	22	0	78
1373	30.32	0	69.68
1374	28.19	0	71.81
1375	30.19	0	69.81
1376	35.3	0	64.7
1377	41.19	0	58.81
1378	44.05	0	55.95
1379	49.31	0	50.69
1380	57.13	0	42.87
1381	66.15	0	33.85
1382	75.78	0	24.22
1383	82.3	17.7	0
1384	85.96	14.04	0
1385	89.26	0	10.74
1386	91.38	8.62	0
1387	92.89	7.11	0
1388	93.79	6.21	0
1389	93.36	6.64	0
1390	95.79	4.21	0
1391	96.57	3.43	0
1392	96.48	3.52	0
1393	93.05	6.95	0
1394	92.98	7.02	0
1395	92.47	7.53	0
1396	96.77	3.23	0
1397	96.59	3.41	0
1398	96.83	3.17	0
1399	96.87	3.13	0
1400	89.51	10.49	0
1401	95.85	4.15	0

VCR

Column Metadata

1363:
  column_code: Q5_14
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL13
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL14
  type: boolean
  true_condition: 1

Column Codes

Years	VCR
1369-1374
1375-1382	Q5_14
1383-1386	DYCOL13
1387-1401	DYCOL14

Summary Statistics

boolean data

Year	Missing	True	False
1375	0	5.96	94.04
1376	0	7.01	92.99
1377	0	8.09	91.91
1378	0	8.4	91.6
1379	0	11.38	88.62
1380	0	15.58	84.42
1381	0	26.1	73.9
1382	0	38.97	61.03
1383	49.33	50.67	0
1384	44.61	55.39	0
1385	0	56.93	43.07
1386	41.91	58.09	0
1387	44.54	55.46	0
1388	45.7	54.3	0
1389	46.7	53.3	0
1390	45.26	54.74	0
1391	47.42	52.58	0
1392	51.52	48.48	0
1393	59.58	40.42	0
1394	64.13	35.87	0
1395	70.05	29.95	0
1396	74.63	25.37	0
1397	79.31	20.69	0
1398	83.9	16.1	0
1399	87.58	12.42	0
1400	90.38	9.62	0
1401	91.78	8.22	0

PC

Column Metadata

1363:
  column_code: Q5_15
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL14
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL15
  type: boolean
  true_condition: 1

Column Codes

Years	PC
1369-1376
1377-1382	Q5_15
1383-1386	DYCOL14
1387-1401	DYCOL15

Summary Statistics

boolean data

Year	Missing	True	False
1377	0	1.04	98.96
1378	0	1.02	98.98
1379	0	1.48	98.52
1380	0	2.39	97.61
1381	0	3.53	96.47
1382	0	5.6	94.4
1383	91.56	8.44	0
1384	89.28	10.72	0
1385	0	13.05	86.95
1386	84.33	15.67	0
1387	82.73	17.27	0
1388	81.59	18.41	0
1389	79.2	20.8	0
1390	77.35	22.65	0
1391	76.61	23.39	0
1392	78.04	21.96	0
1393	77.74	22.26	0
1394	76.68	23.32	0
1395	77.51	22.49	0
1396	76.9	23.1	0
1397	79.14	20.86	0
1398	81.8	18.2	0
1399	83.29	16.71	0
1400	85.68	14.32	0
1401	86.89	13.11	0

Cellphone

Column Metadata

1363:
  column_code: Q5_16
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_9
  type: boolean
  true_condition: 1
1378:
  column_code: Q5_16
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL15
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL16
  type: boolean
  true_condition: 1

Column Codes

Years	Cellphone
1369-1376
1377	Q6_9
1378-1382	Q5_16
1383-1386	DYCOL15
1387-1401	DYCOL16

Summary Statistics

boolean data

Year	True	Missing	False
1377	0.89	0	99.11
1378	1.08	0	98.92
1379	1.79	0	98.21
1380	3.62	0	96.38
1381	5.17	0	94.83
1382	7.91	0	92.09
1383	10.45	89.55	0
1384	17.01	82.99	0
1385	25.5	0	74.5
1386	45.05	54.95	0
1387	62.05	37.95	0
1388	72.56	27.44	0
1389	78.11	21.89	0
1390	83.25	16.75	0
1391	86.32	13.68	0
1392	88.73	11.27	0
1393	85.93	14.07	0
1394	86.75	13.25	0
1395	86.9	13.1	0
1396	91.72	8.28	0
1397	93.38	6.62	0
1398	93.35	6.65	0
1399	94.56	5.44	0
1400	88.47	11.53	0
1401	94.88	5.12	0

Freezer

Column Metadata

1363:
  column_code: Q5_09
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL16
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL17
  type: boolean
  true_condition: 1

Column Codes

Years	Freezer
1369-1382	Q5_09
1383-1386	DYCOL16
1387-1401	DYCOL17

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	6.7	93.3
1370	0	7.57	92.43
1371	0	8.53	91.47
1372	0	11.42	88.58
1373	0	15.86	84.14
1374	0	13.61	86.39
1375	0	14.32	85.68
1376	0	15.31	84.69
1377	0	16.3	83.7
1378	0	16.33	83.67
1379	0	16.97	83.03
1380	0	18.46	81.54
1381	0	20.17	79.83
1382	0	23.25	76.75
1383	73.74	26.26	0
1384	81.5	18.5	0
1385	0	18.82	81.18
1386	80.54	19.46	0
1387	81.01	18.99	0
1388	81.18	18.82	0
1389	80.49	19.51	0
1390	81.13	18.87	0
1391	79.98	20.02	0
1392	82.74	17.26	0
1393	83.78	16.22	0
1394	83.96	16.04	0
1395	84.04	15.96	0
1396	82.76	17.24	0
1397	83.22	16.78	0
1398	83.99	16.01	0
1399	85.56	14.44	0
1400	85.44	14.56	0
1401	82.91	17.09	0

Refrigerator

Column Metadata

1363:
  column_code: Q5_10
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL17
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL18
  type: boolean
  true_condition: 1

Column Codes

Years	Refrigerator
1369-1382	Q5_10
1383-1386	DYCOL17
1387-1401	DYCOL18

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	71.86	28.14
1370	0	74.1	25.9
1371	0	75.6	24.4
1372	0	80.88	19.12
1373	0	84.68	15.32
1374	0	84.21	15.79
1375	0	84.12	15.88
1376	0	86.43	13.57
1377	0	87.26	12.74
1378	0	88.75	11.25
1379	0	90.32	9.68
1380	0	91.78	8.22
1381	0	93.6	6.4
1382	0	94.73	5.27
1383	4.71	95.29	0
1384	13.95	86.05	0
1385	0	85.29	14.71
1386	16.16	83.84	0
1387	19.22	80.78	0
1388	21.31	78.69	0
1389	26.36	73.64	0
1390	29.03	70.97	0
1391	31.92	68.08	0
1392	39.1	60.9	0
1393	43.68	56.32	0
1394	47	53	0
1395	48.56	51.44	0
1396	49.64	50.36	0
1397	54.17	45.83	0
1398	55.36	44.64	0
1399	57.75	42.25	0
1400	62.45	37.55	0
1401	59.21	40.79	0

Freezer_Refrigrator

Column Metadata

1384:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL19
  type: boolean
  true_condition: 1

Column Codes

Years	Freezer_Refrigrator
1369-1383
1384-1386	DYCOL18
1387-1401	DYCOL19

Summary Statistics

boolean data

Year	True	Missing	False
1384	12.9	87.1	0
1385	14.58	0	85.42
1386	17.45	82.55	0
1387	20.04	79.96	0
1388	22.3	77.7	0
1389	26.18	73.82	0
1390	30.96	69.04	0
1391	34.04	65.96	0
1392	40.76	59.24	0
1393	41.73	58.27	0
1394	45.12	54.88	0
1395	46.11	53.89	0
1396	51.4	48.6	0
1397	56.24	43.76	0
1398	57.12	42.88	0
1399	59.7	40.3	0
1400	56.87	43.13	0
1401	60.27	39.73	0

Oven

Column Metadata

1363:
  column_code: Q5_11
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL18
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL19
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL19
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL19
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL20
  type: boolean
  true_condition: 1

Column Codes

Years	Oven
1369-1382	Q5_11
1383	DYCOL18
1384-1386	DYCOL19
1387-1401	DYCOL20

Summary Statistics

boolean data

Year	True	Missing	False
1369	72.19	0	27.81
1370	74.8	0	25.2
1371	76.55	0	23.45
1372	82.52	0	17.48
1373	84.76	0	15.24
1374	83.48	0	16.52
1375	84.89	0	15.11
1376	86.93	0	13.07
1377	86.25	0	13.75
1378	86.66	0	13.34
1379	87.9	0	12.1
1380	89.42	0	10.58
1381	90.61	0	9.39
1382	91.9	0	8.1
1383	92.99	7.01	0
1384	93.18	6.82	0
1385	94.29	0	5.71
1386	94.88	5.12	0
1387	95.58	4.42	0
1388	95.71	4.29	0
1389	94.77	5.23	0
1390	96.86	3.14	0
1391	97.04	2.96	0
1392	97.4	2.6	0
1393	94.23	5.77	0
1394	94.12	5.88	0
1395	93.68	6.32	0
1396	98.4	1.6	0
1397	98.58	1.42	0
1398	98.72	1.28	0
1399	98.55	1.45	0
1400	91.56	8.44	0
1401	98.12	1.88	0

Vacuum_Cleaner

Column Metadata

1363:
  column_code: Q5_12
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL19
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL21
  type: boolean
  true_condition: 1

Column Codes

Years	Vacuum_Cleaner
1369-1382	Q5_12
1383	DYCOL19
1384-1386	DYCOL20
1387-1401	DYCOL21

Summary Statistics

boolean data

Year	True	Missing	False
1369	11.7	0	88.3
1370	13.14	0	86.86
1371	15.21	0	84.79
1372	19.31	0	80.69
1373	27.45	0	72.55
1374	23.94	0	76.06
1375	25.99	0	74.01
1376	27.7	0	72.3
1377	29.06	0	70.94
1378	29.6	0	70.4
1379	32.3	0	67.7
1380	34.91	0	65.09
1381	39.94	0	60.06
1382	45.47	0	54.53
1383	50.37	49.63	0
1384	53.85	46.15	0
1385	55.75	0	44.25
1386	58.97	41.03	0
1387	61.66	38.34	0
1388	63.37	36.63	0
1389	65.54	34.46	0
1390	69.89	30.11	0
1391	71.5	28.5	0
1392	72.19	27.81	0
1393	70.92	29.08	0
1394	71.94	28.06	0
1395	72.42	27.58	0
1396	76.54	23.46	0
1397	77.86	22.14	0
1398	77.82	22.18	0
1399	78.34	21.66	0
1400	73.88	26.12	0
1401	80.09	19.91	0

Washing_Machine

Column Metadata

1363:
  column_code: Q5_13
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL20
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL22
  type: boolean
  true_condition: 1

Column Codes

Years	Washing_Machine
1369-1382	Q5_13
1383	DYCOL20
1384-1386	DYCOL21
1387-1401	DYCOL22

Summary Statistics

boolean data

Year	True	Missing	False
1369	18.68	0	81.32
1370	20.46	0	79.54
1371	22.17	0	77.83
1372	27.38	0	72.62
1373	34.33	0	65.67
1374	29.87	0	70.13
1375	30.77	0	69.23
1376	30.97	0	69.03
1377	31.18	0	68.82
1378	30.46	0	69.54
1379	31.04	0	68.96
1380	31.79	0	68.21
1381	33.44	0	66.56
1382	36.59	0	63.41
1383	39.05	60.95	0
1384	40.78	59.22	0
1385	42.61	0	57.39
1386	45.37	54.63	0
1387	47.11	52.89	0
1388	48.98	51.02	0
1389	51.84	48.16	0
1390	56.77	43.23	0
1391	59.35	40.65	0
1392	61.61	38.39	0
1393	61.04	38.96	0
1394	62.32	37.68	0
1395	63.28	36.72	0
1396	67.86	32.14	0
1397	69.99	30.01	0
1398	70.12	29.88	0
1399	71.29	28.71	0
1400	67.26	32.74	0
1401	73.16	26.84	0

Sewing_Machine

Column Metadata

1363:
  column_code: Q5_04
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL21
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL23
  type: boolean
  true_condition: 1

Column Codes

Years	Sewing_Machine
1369-1382	Q5_04
1383	DYCOL21
1384-1386	DYCOL22
1387-1401	DYCOL23

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	56.29	43.71
1370	0	58.54	41.46
1371	0	59.23	40.77
1372	0	62.23	37.77
1373	0	66.69	33.31
1374	0	62.73	37.27
1375	0	63.6	36.4
1376	0	63.43	36.57
1377	0	61.07	38.93
1378	0	59.77	40.23
1379	0	59.58	40.42
1380	0	59.62	40.38
1381	0	59.77	40.23
1382	0	59.69	40.31
1383	41.12	58.88	0
1384	41.41	58.59	0
1385	0	57.52	42.48
1386	44.56	55.44	0
1387	48.61	51.39	0
1388	50.37	49.63	0
1389	53.37	46.63	0
1390	53.4	46.6	0
1391	53.47	46.53	0
1392	57.63	42.37	0
1393	60.19	39.81	0
1394	60.17	39.83	0
1395	61.54	38.46	0
1396	60.97	39.03	0
1397	62.04	37.96	0
1398	62.75	37.25	0
1399	64.68	35.32	0
1400	68.12	31.88	0
1401	65.7	34.3	0

Fan

Column Metadata

1363:
  column_code: Q5_17
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL22
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL24
  type: boolean
  true_condition: 1

Column Codes

Years	Fan
1369-1380
1381-1382	Q5_17
1383	DYCOL22
1384-1386	DYCOL23
1387-1401	DYCOL24

Summary Statistics

boolean data

Year	Missing	True	False
1381	0	57.81	42.19
1382	0	57.63	42.37
1383	40.97	59.03	0
1384	40.02	59.98	0
1385	0	58.64	41.36
1386	40.72	59.28	0
1387	43.06	56.94	0
1388	44.52	55.48	0
1389	46.56	53.44	0
1390	47	53	0
1391	47.26	52.74	0
1392	53.72	46.28	0
1393	54.42	45.58	0
1394	53.06	46.94	0
1395	53.71	46.29	0
1396	53.51	46.49	0
1397	54.87	45.13	0
1398	55.54	44.46	0
1399	56.05	43.95	0
1400	60.67	39.33	0
1401	59.34	40.66	0

Portable_Evaporative_AC

Column Metadata

1363:
  column_code: Q5_18
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL23
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL25
  type: boolean
  true_condition: 1

Column Codes

Years	Portable_Evaporative_AC
1369-1380
1381-1382	Q5_18
1383	DYCOL23
1384-1386	DYCOL24
1387-1401	DYCOL25

Summary Statistics

boolean data

Year	Missing	True	False
1381	0	4.78	95.22
1382	0	4.93	95.07
1383	94.53	5.47	0
1384	94.62	5.38	0
1385	0	4.38	95.62
1386	95.42	4.58	0
1387	95.5	4.5	0
1388	96.73	3.27	0
1389	95.93	4.07	0
1390	95.38	4.62	0
1391	95	5	0
1392	95.95	4.05	0
1393	96.1	3.9	0
1394	95.36	4.64	0
1395	95.05	4.95	0
1396	95.04	4.96	0
1397	93.85	6.15	0
1398	92.32	7.68	0
1399	92.72	7.28	0
1400	94.29	5.71	0
1401	93.2	6.8	0

Portable_AC

Column Metadata

1385:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL26
  type: boolean
  true_condition: 1

Column Codes

Years	Portable_AC
1369-1384
1385-1386	DYCOL25
1387-1401	DYCOL26

Summary Statistics

boolean data

Year	Missing	True	False
1385	0	1.54	98.46
1386	97.38	2.62	0
1387	96.34	3.66	0
1388	96.3	3.7	0
1389	96.07	3.93	0
1390	96.31	3.69	0
1391	96.24	3.76	0
1392	96.74	3.26	0
1393	97.23	2.77	0
1394	95.68	4.32	0
1395	95.67	4.33	0
1396	95.66	4.34	0
1397	88	12	0
1398	88.07	11.93	0
1399	88.06	11.94	0
1400	89.19	10.81	0
1401	90.28	9.72	0

Dishwasher

Column Metadata

1385:
  column_code: DYCOL26
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL27
  type: boolean
  true_condition: 1

Column Codes

Years	Dishwasher
1369-1384
1385-1386	DYCOL26
1387-1401	DYCOL27

Summary Statistics

boolean data

Year	Missing	True	False
1385	0	0.38	99.62
1386	99.43	0.57	0
1387	99.41	0.59	0
1388	99.47	0.53	0
1389	99.17	0.83	0
1390	99.2	0.8	0
1391	98.82	1.18	0
1392	98.66	1.34	0
1393	98.44	1.56	0
1394	98.48	1.52	0
1395	98.33	1.67	0
1396	97.75	2.25	0
1397	97.1	2.9	0
1398	97.32	2.68	0
1399	97.49	2.51	0
1400	97.37	2.63	0
1401	97.19	2.81	0

Microwave_Oven

Column Metadata

1391:
  column_code: DYCOL28
  type: boolean
  true_condition: 1

Column Codes

Years	Microwave_Oven
1369-1390
1391-1401	DYCOL28

Summary Statistics

boolean data

Year	Missing	True	False
1391	98.04	1.96	0
1392	97.17	2.83	0
1393	96.62	3.38	0
1394	96.52	3.48	0
1395	96.25	3.75	0
1396	95.23	4.77	0
1397	94.62	5.38	0
1398	94.64	5.36	0
1399	94.96	5.04	0
1400	95.13	4.87	0
1401	94.31	5.69	0

No_Appliances

Column Metadata

1383:
  column_code: DYCOL24
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL27
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL28
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL29
  type: boolean
  true_condition: 1

Column Codes

Years	No_Appliances
1369-1382
1383	DYCOL24
1384	DYCOL25
1385-1386	DYCOL27
1387-1390	DYCOL28
1391-1401	DYCOL29

Summary Statistics

boolean data

Year	Missing	True	False
1383	99.17	0.83	0
1384	99.17	0.83	0
1385	0	0.58	99.42
1386	99.49	0.51	0
1387	99.61	0.39	0
1388	99.8	0.2	0
1389	99.86	0.14	0
1390	99.87	0.13	0
1391	99.94	0.06	0
1392	99.91	0.09	0
1393	99.96	0.04	0
1394	99.98	0.02	0
1395	99.96	0.04	0
1396	99.97	0.03	0
1397	99.98	0.02	0
1398	99.97	0.03	0
1399	99.98	0.02	0
1400	99.99	0.01	0
1401	100	0	0

Pipe_Water

Column Metadata

1363:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_01
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL25
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL26
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL28
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL28
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL30
  type: boolean
  true_condition: 1

Column Codes

Years	Pipe_Water
1369-1380	Q6_1
1381-1382	Q6_01
1383	DYCOL25
1384	DYCOL26
1385-1386	DYCOL28
1387-1390	DYCOL29
1391-1401	DYCOL30

Summary Statistics

boolean data

Year	True	Missing	False
1369	78.09	0	21.91
1370	80.88	0	19.12
1371	80.42	0	19.58
1372	82.15	0	17.85
1373	87.9	0	12.1
1374	86.77	0	13.23
1375	85.54	0	14.46
1376	88.48	0	11.52
1377	88.71	0	11.29
1378	90.09	0	9.91
1379	90.18	0	9.82
1380	91.83	0	8.17
1381	92.76	0	7.24
1382	92.41	0	7.59
1383	93.57	6.43	0
1384	94.16	5.84	0
1385	94.24	0	5.76
1386	94.75	5.12	0.13
1387	95.37	4.6	0.03
1388	96.08	3.92	0
1389	94.94	5.06	0
1390	96.73	3.27	0
1391	97.38	2.62	0
1392	96.64	3.36	0
1393	93.52	6.48	0
1394	93.97	6.03	0
1395	93.66	6.34	0
1396	97.83	2.17	0
1397	97.75	2.25	0
1398	98.13	1.87	0
1399	98.52	1.48	0
1400	91.48	8.52	0
1401	98.72	1.28	0

Electricity

Column Metadata

1363:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_02
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL26
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL27
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL31
  type: boolean
  true_condition: 1

Column Codes

Years	Electricity
1369-1380	Q6_2
1381-1382	Q6_02
1383	DYCOL26
1384	DYCOL27
1385-1386	DYCOL29
1387-1390	DYCOL30
1391-1401	DYCOL31

Summary Statistics

boolean data

Year	True	Missing	False
1369	86.58	0	13.42
1370	87.46	0	12.54
1371	86.62	0	13.38
1372	88.64	0	11.36
1373	93.35	0	6.65
1374	94.05	0	5.95
1375	93.86	0	6.14
1376	95.68	0	4.32
1377	96.66	0	3.34
1378	97.02	0	2.98
1379	97.68	0	2.32
1380	97.99	0	2.01
1381	98.48	0	1.52
1382	98.79	0	1.21
1383	99.05	0.95	0
1384	99.22	0.78	0
1385	0	0	100
1386	0	0.64	99.36
1387	0	0.49	99.51
1388	0	0.76	99.24
1389	0	1.96	98.04
1390	0	0.18	99.82
1391	99.88	0.12	0
1392	99.8	0.2	0
1393	95.97	4.03	0
1394	95.94	4.06	0
1395	95.65	4.35	0
1396	99.95	0.05	0
1397	99.96	0.04	0
1398	99.98	0.02	0
1399	99.97	0.03	0
1400	92.71	7.29	0
1401	99.98	0.02	0

Natural_Gas

Column Metadata

1363:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_03
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL27
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL28
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL32
  type: boolean
  true_condition: 1

Column Codes

Years	Natural_Gas
1369-1380	Q6_3
1381-1382	Q6_03
1383	DYCOL27
1384	DYCOL28
1385-1386	DYCOL30
1387-1390	DYCOL31
1391-1401	DYCOL32

Summary Statistics

boolean data

Year	True	Missing	False
1369	8.43	0	91.57
1370	11.13	0	88.87
1371	13.28	0	86.72
1372	20.02	0	79.98
1373	26.51	0	73.49
1374	23.71	0	76.29
1375	25.86	0	74.14
1376	26.64	0	73.36
1377	27.76	0	72.24
1378	27.17	0	72.83
1379	29	0	71
1380	31.81	0	68.19
1381	34.92	0	65.08
1382	37.05	0	62.95
1383	41.46	58.54	0
1384	45.2	54.8	0
1385	0	0	100
1386	0	49.91	50.09
1387	0	47.43	52.57
1388	0	45.34	54.66
1389	0	40.91	59.09
1390	0	36.66	63.34
1391	66.07	33.93	0
1392	67.39	32.61	0
1393	67.32	32.68	0
1394	69.75	30.25	0
1395	71.92	28.08	0
1396	77.86	22.14	0
1397	79.77	20.23	0
1398	82.39	17.61	0
1399	84.41	15.59	0
1400	80.02	19.98	0
1401	87.49	12.51	0

Phone

Column Metadata

1363:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_06
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL28
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL33
  type: boolean
  true_condition: 1

Column Codes

Years	Phone
1369-1380	Q6_6
1381-1382	Q6_06
1383	DYCOL28
1384	DYCOL29
1385-1386	DYCOL31
1387-1390	DYCOL32
1391-1401	DYCOL33

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	14.02	85.98
1370	0	14.9	85.1
1371	0	17.13	82.87
1372	0	20.92	79.08
1373	0	28.09	71.91
1374	0	30.5	69.5
1375	0	29.65	70.35
1376	0	32.79	67.21
1377	0	35.51	64.49
1378	0	39.62	60.38
1379	0	41.68	58.32
1380	0	46.49	53.51
1381	0	53.02	46.98
1382	0	58.67	41.33
1383	34.58	65.42	0
1384	28.04	71.96	0
1385	0	0	100
1386	18.26	0	81.74
1387	18.8	0	81.2
1388	19.84	0	80.16
1389	22.94	0	77.06
1390	23.46	0	76.54
1391	25.68	74.32	0
1392	32.18	67.82	0
1393	36.27	63.73	0
1394	38.15	61.85	0
1395	39.98	60.02	0
1396	39.98	60.02	0
1397	45.63	54.37	0
1398	47.67	52.33	0
1399	48.61	51.39	0
1400	53.46	46.54	0
1401	51.52	48.48	0

Internet

Column Metadata

1363:
  column_code: Q6_10
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL29
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL34
  type: boolean
  true_condition: 1

Column Codes

Years	Internet
1369-1380
1381-1382	Q6_10
1383	DYCOL29
1384	DYCOL30
1385-1386	DYCOL32
1387-1390	DYCOL33
1391-1401	DYCOL34

Summary Statistics

boolean data

Year	True	Missing	False
1381	0.86	0	99.14
1382	1.47	0	98.53
1383	2.69	97.31	0
1384	4.16	95.84	0
1385	0	0	100
1386	0	93.03	6.97
1387	0	93.03	6.97
1388	0	93.75	6.25
1389	0	91.94	8.06
1390	0	91.4	8.6
1391	8.42	91.58	0
1392	8.23	91.77	0
1393	12.43	87.57	0
1394	18.16	81.84	0
1395	25.52	74.48	0
1396	36.42	63.58	0
1397	42.1	57.9	0
1398	45.56	54.44	0
1399	63.67	36.33	0
1400	65.77	34.23	0
1401	70.63	29.37	0

Bathroom

Column Metadata

1363:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_04
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL30
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL35
  type: boolean
  true_condition: 1

Column Codes

Years	Bathroom
1369-1380	Q6_4
1381-1382	Q6_04
1383	DYCOL30
1384	DYCOL31
1385-1386	DYCOL33
1387-1390	DYCOL34
1391-1401	DYCOL35

Summary Statistics

boolean data

Year	True	Missing	False
1369	41.28	0	58.72
1370	42.41	0	57.59
1371	43.93	0	56.07
1372	48.74	0	51.26
1373	57.44	0	42.56
1374	56.54	0	43.46
1375	56.37	0	43.63
1376	58.5	0	41.5
1377	59.21	0	40.79
1378	60.1	0	39.9
1379	61.86	0	38.14
1380	65.21	0	34.79
1381	68.14	0	31.86
1382	71.74	0	28.26
1383	75.63	24.37	0
1384	78.32	21.68	0
1385	0	0	100
1386	0	18.31	81.69
1387	0	15.7	84.3
1388	0	13.58	86.42
1389	0	13.49	86.51
1390	0	10.13	89.87
1391	91.48	8.52	0
1392	92.53	7.47	0
1393	89.83	10.17	0
1394	91.16	8.84	0
1395	91.54	8.46	0
1396	96.23	3.77	0
1397	96.26	3.74	0
1398	96.49	3.51	0
1399	97.25	2.75	0
1400	90.81	9.19	0
1401	97.84	2.16	0

Kitchen

Column Metadata

1363:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_08
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL31
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL36
  type: boolean
  true_condition: 1

Column Codes

Years	Kitchen
1369-1380	Q6_8
1381-1382	Q6_08
1383	DYCOL31
1384	DYCOL32
1385-1386	DYCOL34
1387-1390	DYCOL35
1391-1401	DYCOL36

Summary Statistics

boolean data

Year	True	Missing	False
1369	56.83	0	43.17
1370	60.35	0	39.65
1371	60.84	0	39.16
1372	68.55	0	31.45
1373	73.45	0	26.55
1374	70.73	0	29.27
1375	70.48	0	29.52
1376	73.07	0	26.93
1377	72.24	0	27.76
1378	72.5	0	27.5
1379	74.21	0	25.79
1380	75.31	0	24.69
1381	76.78	0	23.22
1382	79.21	0	20.79
1383	80.82	19.18	0
1384	82.12	17.88	0
1385	0	0	100
1386	0	16.09	83.91
1387	0	13.84	86.16
1388	0	12.34	87.66
1389	0	12.91	87.09
1390	0	10.57	89.43
1391	90.75	9.25	0
1392	91.86	8.14	0
1393	88.96	11.04	0
1394	90.25	9.75	0
1395	90.36	9.64	0
1396	94.93	5.07	0
1397	94.95	5.05	0
1398	95.46	4.54	0
1399	96.23	3.77	0
1400	89.91	10.09	0
1401	96.69	3.31	0

Air_Conditioner

Column Metadata

1363:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_05
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL32
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL37
  type: boolean
  true_condition: 1

Column Codes

Years	Air_Conditioner
1369-1380	Q6_5
1381-1382	Q6_05
1383	DYCOL32
1384	DYCOL33
1385-1386	DYCOL35
1387-1390	DYCOL36
1391-1401	DYCOL37

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	20.09	79.91
1370	0	21	79
1371	0	21.43	78.57
1372	0	25.27	74.73
1373	0	33.92	66.08
1374	0	31.18	68.82
1375	0	30.24	69.76
1376	0	31.33	68.67
1377	0	32.19	67.81
1378	0	32.68	67.32
1379	0	33.41	66.59
1380	0	34.69	65.31
1381	0	34.61	65.39
1382	0	38	62
1383	59.7	40.3	0
1384	59.43	40.57	0
1385	0	0	100
1386	65.57	0	34.43
1387	65.69	0	34.31
1388	64.92	0	35.08
1389	63.3	0	36.7
1390	61.16	0	38.84
1391	59.83	40.17	0
1392	59.74	40.26	0
1393	59.96	40.04	0
1394	58.42	41.58	0
1395	57.65	42.35	0
1396	55.1	44.9	0
1397	56.85	43.15	0
1398	56.98	43.02	0
1399	56.57	43.43	0
1400	59.91	40.09	0
1401	57.26	42.74	0

Central_Air_Conditioner

Column Metadata

1363:
  column_code: Q6_09
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL33
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL36
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL38
  type: boolean
  true_condition: 1

Column Codes

Years	Central_Air_Conditioner
1369-1380
1381-1382	Q6_09
1383	DYCOL33
1384	DYCOL34
1385-1386	DYCOL36
1387-1390	DYCOL37
1391-1401	DYCOL38

Summary Statistics

boolean data

Year	Missing	True	False
1381	0	0.19	99.81
1382	0	0.14	99.86
1383	99.66	0.34	0
1384	99.8	0.2	0
1385	0	0	100
1386	99.83	0	0.17
1387	99.89	0	0.11
1388	99.92	0	0.08
1389	99.83	0	0.17
1390	99.95	0	0.05
1391	99.88	0.12	0
1392	99.91	0.09	0
1393	99.92	0.08	0
1394	99.91	0.09	0
1395	99.89	0.11	0
1396	99.9	0.1	0
1397	99.65	0.35	0
1398	99.61	0.39	0
1399	99.54	0.46	0
1400	99.64	0.36	0
1401	99.55	0.45	0

Central_Heating

Column Metadata

1363:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1364:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1365:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1366:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1367:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1368:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1369:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1370:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1371:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1372:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1373:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1374:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1375:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1376:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1377:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1378:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1379:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1380:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1381:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1382:
  column_code: Q6_07
  type: boolean
  true_condition: 1
1383:
  column_code: DYCOL34
  type: boolean
  true_condition: 1
1384:
  column_code: DYCOL35
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL37
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL39
  type: boolean
  true_condition: 1

Column Codes

Years	Central_Heating
1369-1380	Q6_7
1381-1382	Q6_07
1383	DYCOL34
1384	DYCOL35
1385-1386	DYCOL37
1387-1390	DYCOL38
1391-1401	DYCOL39

Summary Statistics

boolean data

Year	Missing	True	False
1369	0	3.06	96.94
1370	0	3.04	96.96
1371	0	3.12	96.88
1372	0	3.48	96.52
1373	0	6.02	93.98
1374	0	4.44	95.56
1375	0	5.42	94.58
1376	0	5.24	94.76
1377	0	5	95
1378	0	4.05	95.95
1379	0	3.62	96.38
1380	0	3.71	96.29
1381	0	3.2	96.8
1382	0	3.24	96.76
1383	97.77	2.23	0
1384	97.93	2.07	0
1385	0	0	100
1386	98.4	0	1.6
1387	98.57	0	1.43
1388	99.32	0	0.68
1389	99.04	0	0.96
1390	99.11	0	0.89
1391	99.19	0.81	0
1392	99.19	0.81	0
1393	99.02	0.98	0
1394	99.04	0.96	0
1395	99.15	0.85	0
1396	99.04	0.96	0
1397	98.87	1.13	0
1398	98.68	1.32	0
1399	98.66	1.34	0
1400	98.76	1.24	0
1401	98.71	1.29	0

Water_Heater

Column Metadata

1385:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL40
  type: boolean
  true_condition: 1

Column Codes

Years	Water_Heater
1369-1384
1385-1386	DYCOL38
1387-1390	DYCOL39
1391-1401	DYCOL40

Summary Statistics

boolean data

Year	Missing	True	False
1385	0	0	100
1386	99.78	0	0.22
1387	99.76	0	0.24
1388	99.82	0	0.18
1389	99.68	0	0.32
1390	99.76	0	0.24
1391	99.66	0.34	0
1392	99.17	0.83	0
1393	98.91	1.09	0
1394	98.62	1.38	0
1395	98.44	1.56	0
1396	98.13	1.87	0
1397	96.65	3.35	0
1398	96.32	3.68	0
1399	96.41	3.59	0
1400	96.18	3.82	0
1401	95.19	4.81	0

Split_Air_Conditioner

Column Metadata

1385:
  column_code: DYCOL39
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL40
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL41
  type: boolean
  true_condition: 1

Column Codes

Years	Split_Air_Conditioner
1369-1384
1385-1386	DYCOL39
1387-1390	DYCOL40
1391-1401	DYCOL41

Summary Statistics

boolean data

Year	Missing	True	False
1385	0	0	100
1386	88.43	0	11.57
1387	89.22	0	10.78
1388	88.07	0	11.93
1389	87.39	0	12.61
1390	86.84	0	13.16
1391	86.1	13.9	0
1392	84.51	15.49	0
1393	83.96	16.04	0
1394	83.94	16.06	0
1395	83.36	16.64	0
1396	81.41	18.59	0
1397	84.63	15.37	0
1398	84.66	15.34	0
1399	84.99	15.01	0
1400	85.07	14.93	0
1401	82.03	17.97	0

Sewerage

Column Metadata

1386:
  column_code: DYCOL40
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL41
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL42
  type: boolean
  true_condition: 1

Column Codes

Years	Sewerage
1369-1385
1386	DYCOL40
1387-1390	DYCOL41
1391-1401	DYCOL42

Summary Statistics

boolean data

Year	Missing	True	False
1386	89.63	0	10.37
1387	87.31	0	12.69
1388	88.85	0	11.15
1389	87.45	0	12.55
1390	86.1	0	13.9
1391	85.13	14.87	0
1392	86.32	13.68	0
1393	85.46	14.54	0
1394	85.55	14.45	0
1395	84.63	15.37	0
1396	83.1	16.9	0
1397	82.03	17.97	0
1398	81.59	18.41	0
1399	81.89	18.11	0
1400	82.5	17.5	0
1401	79.82	20.18	0

Elevator

Column Metadata

1363:
  column_code: DYCOL42_14
  type: boolean
  true_condition: 1

Column Codes

Years	Elevator
1369-1400
1401	DYCOL42_14

Summary Statistics

boolean data

Year	Missing	True	False
1401	95.33	4.67	0

Cooking_Fuel

Column Metadata

1363:
  column_code: Q7A
  type: category
  categories: null
  replace: null
1369:
  column_code: Q7A
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Gas
    4: Electricity
    5: Wood_and_Charcoal
    6: Animal_Fuel
    7: Other_Fuel
  replace: null
1383:
  column_code: DYCOL35
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Gas
    4: Electricity
    5: Wood_and_Charcoal
    6: Animal_Fuel
    7: Other_Fuel
  replace:
    30: null
1384:
  column_code: DYCOL36
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Gas
    4: Electricity
    5: Wood_and_Charcoal
    6: Animal_Fuel
    7: Other_Fuel
  replace:
    30: null
1385:
  column_code: DYCOL40
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Gas
    4: Electricity
    5: Wood_and_Charcoal
    6: Animal_Fuel
    7: Charcoal
    8: Other_Fuel
  replace:
    30: null
1386:
  column_code: DYCOL41
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1387:
  column_code: DYCOL42
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1388:
  column_code: DYCOL42
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1389:
  column_code: DYCOL42
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1390:
  column_code: DYCOL42
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1391:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1392:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1393:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1394:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1395:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1396:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1397:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1398:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1399:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1400:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null
1401:
  column_code: DYCOL43
  type: category
  categories:
    1: Karosine
    2: Gasoline
    3: Liquid_Gas
    4: Piped_Gas
    5: Electricity
    6: Wood_and_Charcoal
    7: Animal_Fuel
    8: Coal
    9: Other_Fuel
    10: None
  replace:
    30: null

Column Codes

Years	Cooking_Fuel
1369-1382	Q7A
1383	DYCOL35
1384	DYCOL36
1385	DYCOL40
1386	DYCOL41
1387-1390	DYCOL42
1391-1401	DYCOL43

Summary Statistics

category data

Year	Piped_Gas	Liquid_Gas	Electricity	Karosine	Gasoline	Wood_and_Charcoal	None	Gas	Animal_Fuel	Other_Fuel	nan
1369			0.08	23.31	0.37	6.93		68.21	1.1
1370			0.04	20.31	0.34	6.33		72.1	0.86	0.02
1371			0.03	16.99	0.27	5.34		76.45	0.92
1372			0.02	11.86	0.3	4.71		82.92	0.2	0.01
1373			0.04	9.33	0.38	2.66		87.38	0.19	0.02
1374			0.04	9.75	0.11	3.97		85.83	0.28	0.02	0.01
1375			0.02	8.94	0.09	3.48		87.04	0.42	0.01
1376			0.01	6.78	0.07	3.03		89.78	0.32	0.0
1377			0.05	7.61	0.09	2.93		89.21	0.09	0.02
1378				7.26	0.05	3.22		89.15	0.22	0.1
1379			0.07	6.34	0.09	2.78		90.48	0.23	0.0
1380			0.08	3.85	0.05	2.8		93.05	0.17	0.01
1381			0.03	3.27	0.07	1.93		94.6	0.1	0.01
1382			0.06	2.62	0.04	1.56		95.56	0.14	0.01
1383			0.03	2.27	0.02	1.62		95.98	0.05	0.03	0.0
1384			0.04	2.31	0.02	1.12		96.35	0.02	0.15
1385			0.28	1.12	0.05	1.07		97.46	0.01	0.01
1386	49.03	48.91	0.01	1.17	0.02	0.81	0.04		0.01
1387	51.87	46.47	0.01	0.94	0.03	0.64	0.04		0.0
1388	54.36	44.0	0.03	0.66	0.02	0.44	0.02				0.48
1389	58.28	39.03	0.03	0.57	0.02	0.34	0.01		0.0	0.0	1.71
1390	63.22	35.96	0.02	0.4	0.07	0.31	0.02
1391	65.8	33.52	0.02	0.39	0.03	0.21	0.01		0.02
1392	67.13	32.27	0.03	0.35	0.03	0.13	0.02		0.0		0.04
1393	67.17	28.38	0.01	0.32	0.02	0.11	0.02			0.0	3.97
1394	69.57	25.89	0.02	0.36	0.04	0.09	0.02				4.03
1395	71.62	23.56	0.01	0.31	0.03	0.13	0.03		0.0		4.31
1396	77.64	22.11	0.01	0.1	0.03	0.08	0.03
1397	79.62	20.18	0.02	0.09	0.02	0.05	0.03
1398	82.19	17.69	0.01	0.04	0.02	0.03	0.02			0.0
1399	84.34	15.55	0.01	0.04	0.02	0.04	0.0
1400	79.91	12.73	0.04	0.02	0.01	0.01					7.27
1401	87.37	12.49	0.04	0.04	0.03	0.02	0.0

Categories

	1369-1384	1385	1386-1401
1	Karosine	Karosine	Karosine
2	Gasoline	Gasoline	Gasoline
3	Gas	Gas	Liquid_Gas
4	Electricity	Electricity	Piped_Gas
5	Wood_and_Charcoal	Wood_and_Charcoal	Electricity
6	Animal_Fuel	Animal_Fuel	Wood_and_Charcoal
7	Other_Fuel	Charcoal	Animal_Fuel
8		Other_Fuel	Coal
9			Other_Fuel
10			None

Replacements

Year	Value	Replace_Value	Frequency
1383	30	nan	1

Heating_Fuel

Column Metadata

1363:
  column_code: Q7B
  type: category
  categories: null
  replace: null
1369:
  column_code: Q7B
  type: category
  categories:
    8: Karosine
    9: Gasoline
    10: Gas
    11: Electricity
    12: Wood_and_Charcoal
    13: Animal_Fuel
    14: Other_Fuel
  replace: null
1383:
  column_code: DYCOL36
  type: category
  categories:
    8: Karosine
    9: Gasoline
    10: Gas
    11: Electricity
    12: Wood_and_Charcoal
    13: Animal_Fuel
    14: Other_Fuel
  replace:
    1: null
    2: null
    83: null
    88: null
1384:
  column_code: DYCOL37
  type: category
  categories:
    8: Karosine
    9: Gasoline
    10: Gas
    11: Electricity
    12: Wood_and_Charcoal
    13: Animal_Fuel
    14: Other_Fuel
  replace:
    1: null
    2: null
    83: null
    88: null
1385:
  column_code: DYCOL41
  type: category
  categories:
    9: Karosine
    10: Gasoline
    11: Gas
    12: Electricity
    13: Wood_and_Charcoal
    14: Animal_Fuel
    15: Charcoal
    16: Other_Fuel
  replace:
    1: null
    2: null
    83: null
    88: null
1386:
  column_code: DYCOL42
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1387:
  column_code: DYCOL43
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1388:
  column_code: DYCOL43
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1389:
  column_code: DYCOL43
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1390:
  column_code: DYCOL43
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1391:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1392:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1393:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1394:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1395:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1396:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1397:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1398:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1399:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1400:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null
1401:
  column_code: DYCOL44
  type: category
  categories:
    11: Karosine
    12: Gasoline
    13: Liquid_Gas
    14: Piped_Gas
    15: Electricity
    16: Wood_and_Charcoal
    17: Animal_Fuel
    18: Coal
    19: Other_Fuel
    20: None
  replace:
    1: null
    2: null
    83: null
    88: null

Column Codes

Years	Heating_Fuel
1369-1382	Q7B
1383	DYCOL36
1384	DYCOL37
1385	DYCOL41
1386	DYCOL42
1387-1390	DYCOL43
1391-1401	DYCOL44

Summary Statistics

category data

Year	Piped_Gas	Karosine	Electricity	None	Liquid_Gas	Wood_and_Charcoal	Gasoline	Other_Fuel	1.0	5.0	3.0	2.0	6.0	4.0	nan	7.0	Gas	Animal_Fuel	Coal
1369									65.69	12.9	7.77	6.55	4.71	1.43	0.92	0.04
1370									62.39	12.31	10.63	8.24	4.24	1.63	0.48	0.08
1371									62.88	10.64	12.69	6.41	5.3	1.66	0.38	0.04
1372									60.2	9.65	19.92	3.64	3.77	2.44	0.33	0.05
1373									60.03	5.07	26.42	5.24	1.76	1.17	0.31	0.02
1374		62.35	1.89			6.57	3.44	0.06							0.01		23.44	2.24
1375		60.79	1.67			5.65	3.83	0.01									25.86	2.18
1376		61.5	1.51			4.35	4.43										26.68	1.54
1377		59.95	1.56			4.86	4.86	0.06									27.42	1.27
1378		59.71	1.88			5.6	3.34	0.15									27.69	1.63
1379		58.12	2.64			5.1	2.96	0.04									29.14	2.01
1380		56.05	3.14			4.71	2.5	0.0									32.01	1.58
1381		54.31	2.47			4.62	2.41	0.03									35.14	1.03
1382		51.31	3.56			3.72	2.6	0.36									37.46	1.0
1383		47.29	3.66			4.18	2.12	0.02							0.02		41.94	0.76
1384		46.02	3.01			3.18	1.49	0.07									45.67	0.55
1385		43.76	3.11			3.02	1.07	0.06									48.67	0.3
1386	48.71	40.01	3.99	1.66	2.26	2.38	0.69											0.3	0.01
1387	51.67	38.82	3.91	1.16	1.78	2.1	0.46	0.0										0.09	0.0
1388	54.08	36.47	4.13	1.41	1.57	1.5	0.31	0.01							0.48			0.04	0.0
1389	58.12	31.66	3.75	1.75	1.3	1.36	0.26	0.01							1.71			0.09
1390	62.92	29.4	2.78	2.03	1.46	1.17	0.19	0.02										0.04
1391	65.6	26.99	3.34	1.73	1.06	1.07	0.16	0.0										0.05
1392	66.91	25.4	3.82	1.21	1.67	0.78	0.14	0.0							0.04			0.03
1393	66.92	22.24	3.71	1.4	1.12	0.5	0.11								3.97			0.03
1394	69.22	20.06	4.41	0.84	0.85	0.43	0.1	0.05							4.03			0.02
1395	71.31	17.57	4.41	0.99	0.85	0.43	0.13	0.0							4.31			0.01
1396	77.35	15.37	4.2	1.6	0.87	0.51	0.08	0.0										0.02
1397	79.03	12.49	4.25	2.39	1.28	0.45	0.1											0.02
1398	81.6	10.0	4.22	2.7	1.16	0.27	0.04
1399	83.7	8.07	4.58	2.67	0.78	0.18	0.02
1400	79.6	6.06	4.2	2.08	0.65	0.12	0.02								7.27			0.0
1401	87.11	5.18	4.84	1.89	0.85	0.11	0.02	0.0

Categories

	1369-1384	1385	1386-1401
8	Karosine
9	Gasoline	Karosine
10	Gas	Gasoline
11	Electricity	Gas	Karosine
12	Wood_and_Charcoal	Electricity	Gasoline
13	Animal_Fuel	Wood_and_Charcoal	Liquid_Gas
14	Other_Fuel	Animal_Fuel	Piped_Gas
15		Charcoal	Electricity
16		Other_Fuel	Wood_and_Charcoal
17			Animal_Fuel
18			Coal
19			Other_Fuel
20			None

Replacements

Year	Value	Replace_Value	Frequency
1383	1	nan	3
1383	2	nan	1
1383	83	nan	1
1383	88	nan	1

Hotwater_Fuel

Column Metadata

1386:
  column_code: DYCOL43
  type: category
  categories:
    21: Karosine
    22: Gasoline
    23: Liquid_Gas
    24: Piped_Gas
    25: Electricity
    26: Wood_and_Charcoal
    27: Animal_Fuel
    28: Coal
    29: Other_Fuel
    30: None
1387:
  column_code: DYCOL44
  type: category
  categories:
    21: Karosine
    22: Gasoline
    23: Liquid_Gas
    24: Piped_Gas
    25: Electricity
    26: Wood_and_Charcoal
    27: Animal_Fuel
    28: Coal
    29: Other_Fuel
    30: None
1391:
  column_code: DYCOL45
  type: category
  categories:
    21: Karosine
    22: Gasoline
    23: Liquid_Gas
    24: Piped_Gas
    25: Electricity
    26: Wood_and_Charcoal
    27: Animal_Fuel
    28: Coal
    29: Other_Fuel
    30: None

Column Codes

Years	Hotwater_Fuel
1369-1385
1386	DYCOL43
1387-1390	DYCOL44
1391-1401	DYCOL45

Summary Statistics

category data

Year	Piped_Gas	Electricity	Liquid_Gas	Karosine	None	Wood_and_Charcoal	Gasoline	Other_Fuel	Animal_Fuel	nan	Coal
1386	48.55	7.29	15.4	21.48	3.58	2.79	0.68	0.02	0.2
1387	51.51	7.49	14.99	19.77	2.88	2.56	0.7	0.02	0.09
1388	53.97	8.26	15.52	17.3	1.87	2.07	0.45	0.02	0.06	0.48	0.0
1389	57.94	8.61	14.85	13.58	1.23	1.61	0.42	0.01	0.05	1.71
1390	62.82	8.44	13.88	11.77	1.05	1.69	0.31	0.01	0.03
1391	65.38	8.09	13.04	10.64	0.78	1.67	0.33	0.01	0.06
1392	66.72	7.7	13.52	9.79	0.83	1.01	0.31	0.02	0.06	0.04
1393	66.71	7.86	11.88	7.49	1.08	0.71	0.21	0.03	0.07	3.97
1394	69.04	8.28	10.99	5.75	1	0.67	0.14	0.05	0.05	4.03
1395	71.13	8.64	9.72	4.62	0.75	0.64	0.13	0.02	0.04	4.31
1396	77.02	9.09	8.6	3.54	1.02	0.53	0.09	0.04	0.07
1397	78.99	9.15	7.44	2.65	1.04	0.6	0.06	0.04	0.03
1398	81.51	8.99	6.33	1.65	1.1	0.34	0.03	0.03	0.01
1399	83.74	8.46	4.77	1.66	1.05	0.25	0.03	0.03	0.01
1400	79.42	7.61	3.3	1.44	0.76	0.16	0.02	0.02	0	7.27
1401	87.06	7.79	3.07	1.18	0.66	0.18	0.03	0.02	0

Categories

	1386-1401
21	Karosine
22	Gasoline
23	Liquid_Gas
24	Piped_Gas
25	Electricity
26	Wood_and_Charcoal
27	Animal_Fuel
28	Coal
29	Other_Fuel
30	None

Main_Materials_1

Column Metadata

1363:
  column_code: Q4A
  type: category
  categories: null
  replace:
    0: null
    15: null
    70: null
1369:
  column_code: Q4A
  type: category
  categories:
    1: Brick
    2: Ceramic_Block
    3: Cement_Block
    4: Concrete
    5: Iron_Beam
    6: Stone
    7: Wood
    8: Adobe
    9: Clay
    10: Other
  replace:
    0: null
    15: null
    70: null
1377:
  column_code: Q4A
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    0: null
    15: null
    70: null
1383:
  column_code: Q4A
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1389:
  column_code: Q4A
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null

Column Codes

Years	Main_Materials_1
1369-1376	Q4A
1377-1401

Summary Statistics

category data

Year	Brick	Wood	Cement_Block	Stone	Adobe	Iron_Beam	Other	Concrete	Ceramic_Block	Clay	nan
1369	50.14	27.04	7.29	5.88	5.67	2.38	0.72	0.43	0.1	0.33	0.01
1370	50.88	25.65	7.45	6.2	5.69	2.58	0.31	0.46	0.14	0.61	0.02
1371	53.14	23.84	7.23	6.17	5.7	2.49	0.54	0.48	0.17	0.24
1372	53.12	24.39	7.87	5.4	4.78	3.06	0.53	0.53	0.3	0.02
1373	64.98	17.48	6.49	3.9	4.22	1.51	0.42	0.79	0.17	0.02
1374	59.17	18.55	7.16	5.27	5.95	2.72	0.5	0.43	0.22	0.02	0.01
1375	61.95	18.52	7.4	4.58	4.27	1.98	0.57	0.51	0.18	0.05
1376	63.78	17.03	7.54	4.33	4.2	1.84	0.56	0.46	0.23	0.02

Categories

	1369-1376
1	Brick
2	Ceramic_Block
3	Cement_Block
4	Concrete
5	Iron_Beam
6	Stone
7	Wood
8	Adobe
9	Clay
10	Other

Replacements

Year	Value	Replace_Value	Frequency
1369	0	nan	1
1369	15	nan	1

Main_Materials_2

Column Metadata

1363:
  column_code: Q4B
  type: category
  categories: null
  replace:
    0: null
    15: null
    70: null
1369:
  column_code: Q4B
  type: category
  categories:
    1: Brick
    2: Ceramic_Block
    3: Cement_Block
    4: Concrete
    5: Iron_Beam
    6: Stone
    7: Wood
    8: Adobe
    9: Clay
    10: Other
  replace:
    0: null
    15: null
    70: null
1377:
  column_code: Q4B
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    0: null
    15: null
    70: null
1383:
  column_code: Q4B
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace:
    '00': null
    '11': null
    '31': null
    '61': null
1389:
  column_code: Q4B
  type: category
  categories:
    1: Brick_and_Iron_or_Stone_and_Iron
    2: Brick_and_Wood_or_Stone_and_Wood
    3: Cement_Block
    4: All_Brick_or_Stone_and_Brick
    5: All_Wood
    6: Adobe_and_Wood
    7: Adobe_and_Clay
    8: Other
  replace: null

Column Codes

Years	Main_Materials_2
1369-1376	Q4B
1377-1401

Summary Statistics

category data

Year	Iron_Beam	Wood	Adobe	Clay	Stone	Concrete	nan	Other	Cement_Block	Ceramic_Block	Brick
1369	37.53	21.48	22.05	11.44	2.21	0.9	3.07	0.4	0.88	0.03
1370	38.6	20.13	20.21	11.81	2.53	0.96	3.81	0.9	1.01	0.04	0.01
1371	40.3	19.9	18.04	12.2	2.36	1.21	4.36	0.84	0.7	0.07	0.01
1372	40.27	18	18.43	11.39	3.04	1.32	6.61	0.49	0.45	0.02
1373	53.54	16.09	13.51	8.83	1.31	1.43	4.5	0.49	0.26	0.05
1374	48.72	17.45	14.77	10.48	2.54	1.23	3.68	0.71	0.4	0.03
1375	49.94	18.72	14.29	9.11	1.75	1.53	3.9	0.4	0.34	0.02
1376	51.43	20.62	12.97	8.94	1.81	1.81	1.01	0.71	0.65	0.03	0.01

Categories

	1369-1376
1	Brick
2	Ceramic_Block
3	Cement_Block
4	Concrete
5	Iron_Beam
6	Stone
7	Wood
8	Adobe
9	Clay
10	Other

Replacements

Year	Value	Replace_Value	Frequency
1369	0	nan	1
1369	70	nan	1

Cooperative_Members

Column Metadata

1378:
  column_code: Q8_1
  type: UInt8

Column Codes

Years	Cooperative_Members
1369-1377
1378-1380	Q8_1
1381-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1378	11596	1.41	1.37	1	1	16
1379	10087	1.32	1.19	1	1	12
1380	9624	1.28	1.1	1	1	15

Consumption_Cooperative

Column Metadata

1378:
  column_code: Q8_2_1
  type: UInt8

Column Codes

Years	Consumption_Cooperative
1369-1377
1378-1380	Q8_2_1
1381-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1378	9906	1.12	0.5	1	1	14
1379	8515	1.09	0.31	1	1	7
1380	8299	1.08	0.32	1	1	10

House_Cooperative

Column Metadata

1378:
  column_code: Q8_2_2
  type: UInt8

Column Codes

Years	House_Cooperative
1369-1377
1378-1380	Q8_2_2
1381-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1378	558	1.05	0.35	1	1	8
1379	503	1.04	0.22	1	1	3
1380	371	1.04	0.18	1	1	2

Other_Cooperative

Column Metadata

1378:
  column_code: Q8_2_3
  type: UInt8

Column Codes

Years	Other_Cooperative
1369-1377
1378-1380	Q8_2_3
1381-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1378	2160	1.06	0.35	1	1	10
1379	1903	1.04	0.23	1	1	5
1380	1535	1.04	0.24	1	1	5

Party_Month

Column Metadata

1384:
  column_code: DYCOL38
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL42
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL44
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL45
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL46
  type: boolean
  true_condition: 1

Column Codes

Years	Party_Month
1369-1383
1384	DYCOL38
1385	DYCOL42
1386	DYCOL44
1387-1390	DYCOL45
1391-1395	DYCOL46
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	98.39	1.61	0
1385	0	1.11	98.89
1386	98.87	1.13	0
1387	99.14	0.86	0
1388	99.16	0.84	0
1389	99.26	0.74	0
1390	99.28	0.72	0
1391	99.24	0.76	0
1392	99.5	0.5	0
1393	99.59	0.41	0
1394	99.58	0.42	0
1395	99.46	0.54	0

Party_Year

Column Metadata

1384:
  column_code: DYCOL39
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL43
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL45
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL46
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL47
  type: boolean
  true_condition: 2

Column Codes

Years	Party_Year
1369-1383
1384	DYCOL39
1385	DYCOL43
1386	DYCOL45
1387-1390	DYCOL46
1391-1395	DYCOL47
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	88.45	11.55	0
1385	0	9.51	90.49
1386	90.65	9.35	0
1387	91.94	8.06	0
1388	91.73	8.27	0
1389	91.94	8.06	0
1390	92.65	7.35	0
1391	92.81	7.19	0
1392	94.12	5.88	0
1393	94.65	5.35	0
1394	95.45	4.55	0
1395	95.22	4.78	0

Ceremony_Month

Column Metadata

1384:
  column_code: DYCOL40
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL44
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL46
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL47
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL48
  type: boolean
  true_condition: 1

Column Codes

Years	Ceremony_Month
1369-1383
1384	DYCOL40
1385	DYCOL44
1386	DYCOL46
1387-1390	DYCOL47
1391-1395	DYCOL48
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	99.15	0.85	0
1385	0	0.69	99.31
1386	99.49	0.51	0
1387	99.6	0.4	0
1388	99.58	0.42	0
1389	99.64	0.36	0
1390	99.72	0.28	0
1391	99.66	0.34	0
1392	99.78	0.22	0
1393	99.78	0.22	0
1394	99.71	0.29	0
1395	99.74	0.26	0

Ceremony_Year

Column Metadata

1384:
  column_code: DYCOL41
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL45
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL47
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL48
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL49
  type: boolean
  true_condition: 2

Column Codes

Years	Ceremony_Year
1369-1383
1384	DYCOL41
1385	DYCOL45
1386	DYCOL47
1387-1390	DYCOL48
1391-1395	DYCOL49
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	93.17	6.83	0
1385	0	6.6	93.4
1386	94.27	5.73	0
1387	94.97	5.03	0
1388	94.95	5.05	0
1389	94.9	5.1	0
1390	95.54	4.46	0
1391	95.76	4.24	0
1392	96.19	3.81	0
1393	96.06	3.94	0
1394	96.68	3.32	0
1395	96.74	3.26	0

Homerepair_Month

Column Metadata

1384:
  column_code: DYCOL42
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL46
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL48
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL49
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL50
  type: boolean
  true_condition: 1

Column Codes

Years	Homerepair_Month
1369-1383
1384	DYCOL42
1385	DYCOL46
1386	DYCOL48
1387-1390	DYCOL49
1391-1395	DYCOL50
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	98.62	1.38	0
1385	0	0.86	99.14
1386	99.12	0.88	0
1387	99.32	0.68	0
1388	99.31	0.69	0
1389	99.38	0.62	0
1390	99.53	0.47	0
1391	99.5	0.5	0
1392	99.67	0.33	0
1393	99.73	0.27	0
1394	99.69	0.31	0
1395	99.7	0.3	0

Homerepair_Year

Column Metadata

1384:
  column_code: DYCOL43
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL47
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL49
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL50
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL51
  type: boolean
  true_condition: 2

Column Codes

Years	Homerepair_Year
1369-1383
1384	DYCOL43
1385	DYCOL47
1386	DYCOL49
1387-1390	DYCOL50
1391-1395	DYCOL51
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	73.23	26.77	0
1385	0	21.82	78.18
1386	79.62	20.38	0
1387	80.64	19.36	0
1388	80.06	19.94	0
1389	81.15	18.85	0
1390	83.78	16.22	0
1391	84.22	15.78	0
1392	84.86	15.14	0
1393	85.99	14.01	0
1394	85.21	14.79	0
1395	86.57	13.43	0

Ziarati_Trip_Month

Column Metadata

1384:
  column_code: DYCOL44
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL48
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL50
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL51
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL52
  type: boolean
  true_condition: 1

Column Codes

Years	Ziarati_Trip_Month
1369-1383
1384	DYCOL44
1385	DYCOL48
1386	DYCOL50
1387-1390	DYCOL51
1391-1395	DYCOL52
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	99.67	0.33	0
1385	0	0.39	99.61
1386	99.66	0.34	0
1387	99.59	0.41	0
1388	99.62	0.38	0
1389	99.52	0.48	0
1390	99.58	0.42	0
1391	99.59	0.41	0
1392	99.73	0.27	0
1393	99.71	0.29	0
1394	99.69	0.31	0
1395	99.65	0.35	0

Ziarati_Trip_Year

Column Metadata

1384:
  column_code: DYCOL45
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL49
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL51
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL52
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL53
  type: boolean
  true_condition: 2

Column Codes

Years	Ziarati_Trip_Year
1369-1383
1384	DYCOL45
1385	DYCOL49
1386	DYCOL51
1387-1390	DYCOL52
1391-1395	DYCOL53
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	96.6	3.4	0
1385	0	2.43	97.57
1386	97.34	2.66	0
1387	97.17	2.83	0
1388	96.28	3.72	0
1389	96.03	3.97	0
1390	95.05	4.95	0
1391	96.25	3.75	0
1392	96.38	3.62	0
1393	96.78	3.22	0
1394	96.86	3.14	0
1395	96.16	3.84	0

Foreign_Trip_Month

Column Metadata

1384:
  column_code: DYCOL46
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL50
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL52
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL53
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL54
  type: boolean
  true_condition: 1

Column Codes

Years	Foreign_Trip_Month
1369-1383
1384	DYCOL46
1385	DYCOL50
1386	DYCOL52
1387-1390	DYCOL53
1391-1395	DYCOL54
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	99.91	0.09	0
1385	0	0.09	99.91
1386	99.91	0.09	0
1387	99.91	0.09	0
1388	99.96	0.04	0
1389	99.95	0.05	0
1390	99.97	0.03	0
1391	99.98	0.02	0
1392	99.98	0.02	0
1393	99.98	0.02	0
1394	99.98	0.02	0
1395	99.99	0.01	0

Foreign_Trip_Year

Column Metadata

1384:
  column_code: DYCOL47
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL51
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL53
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL54
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL55
  type: boolean
  true_condition: 2

Column Codes

Years	Foreign_Trip_Year
1369-1383
1384	DYCOL47
1385	DYCOL51
1386	DYCOL53
1387-1390	DYCOL54
1391-1395	DYCOL55
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	99.3	0.7	0
1385	0	0.53	99.47
1386	99.38	0.62	0
1387	99.58	0.42	0
1388	99.62	0.38	0
1389	99.55	0.45	0
1390	99.42	0.58	0
1391	99.8	0.2	0
1392	99.84	0.16	0
1393	99.81	0.19	0
1394	99.77	0.23	0
1395	99.81	0.19	0

Surgery_Month

Column Metadata

1384:
  column_code: DYCOL48
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL52
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL54
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL55
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL56
  type: boolean
  true_condition: 1

Column Codes

Years	Surgery_Month
1369-1383
1384	DYCOL48
1385	DYCOL52
1386	DYCOL54
1387-1390	DYCOL55
1391-1395	DYCOL56
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	98.35	1.65	0
1385	0	1.34	98.66
1386	98.65	1.35	0
1387	98.39	1.61	0
1388	98.48	1.52	0
1389	98.64	1.36	0
1390	93.29	6.71	0
1391	99.15	0.85	0
1392	99.36	0.64	0
1393	99.37	0.63	0
1394	99.43	0.57	0
1395	99.01	0.99	0

Other_Event_mMnth

Column Metadata

1384:
  column_code: DYCOL49
  type: boolean
  true_condition: 1
1385:
  column_code: DYCOL53
  type: boolean
  true_condition: 1
1386:
  column_code: DYCOL55
  type: boolean
  true_condition: 1
1387:
  column_code: DYCOL56
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL58
  type: boolean
  true_condition: 1

Column Codes

Years	Other_Event_mMnth
1369-1383
1384	DYCOL49
1385	DYCOL53
1386	DYCOL55
1387-1390	DYCOL56
1391-1395	DYCOL58
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	99.79	0.21	0
1385	0	0.21	99.79
1386	99.74	0.26	0
1387	99.81	0.19	0
1388	99.81	0.19	0
1389	99.83	0.17	0
1390	99.87	0.13	0
1391	99.96	0.04	0
1392	99.91	0.09	0
1393	99.95	0.05	0
1394	99.97	0.03	0
1395	99.94	0.06	0

Other_Event_Year

Column Metadata

1384:
  column_code: DYCOL50
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL54
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL56
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL57
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL59
  type: boolean
  true_condition: 2

Column Codes

Years	Other_Event_Year
1369-1383
1384	DYCOL50
1385	DYCOL54
1386	DYCOL56
1387-1390	DYCOL57
1391-1395	DYCOL59
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1384	98.53	1.47	0
1385	0	1.01	98.99
1386	98.15	1.85	0
1387	98.63	1.37	0
1388	98.62	1.38	0
1389	98.6	1.4	0
1390	98.8	1.2	0
1391	99.23	0.77	0
1392	99.23	0.77	0
1393	99.39	0.61	0
1394	99.57	0.43	0
1395	99.23	0.77	0

No_Event_Month

Column Metadata

1384:
  column_code: DYCOL51
  type: boolean
  true_condition: 1

Column Codes

Years	No_Event_Month
1369-1383
1384	DYCOL51
1385-1401

Summary Statistics

boolean data

Year	True	Missing	False
1384	86.99	13.01	0

No_Event_Year

Column Metadata

1384:
  column_code: DYCOL52
  type: boolean
  true_condition: 2
1385:
  column_code: DYCOL55
  type: boolean
  true_condition: 2
1386:
  column_code: DYCOL57
  type: boolean
  true_condition: 2
1387:
  column_code: DYCOL58
  type: boolean
  true_condition: 2
1391:
  column_code: DYCOL61
  type: boolean
  true_condition: 2

Column Codes

Years	No_Event_Year
1369-1383
1384	DYCOL52
1385	DYCOL55
1386	DYCOL57
1387-1390	DYCOL58
1391-1395	DYCOL61
1396-1401

Summary Statistics

boolean data

Year	False	Missing	True
1384	0	41.99	58.01
1385	100	0	0
1386	63.76	36.24	0
1387	66.57	33.43	0
1388	65.33	34.67	0
1389	61.83	35.12	3.04
1390	61.94	34.68	3.37
1391	65.73	34.27	0
1392	66.76	33.24	0
1393	64.72	35.28	0
1394	64.78	35.22	0
1395	62.95	37.05	0

Other_tenure

Column Metadata

1387:
  column_code: DYCOL02
  type: string

Column Codes

Years	Other_tenure
1369-1386
1387-1395	DYCOL02
1396-1401

Summary Statistics

string data

Year		ورثه اي	شراکتي	چادرنشين	چادر	بين وارث	خانه پدري	کانکس	انحصار ورثه نشده	کپرنشين	عشاير	پدري	طبقه دوم پدر شوهر	خانه پدري	کپري	کپروچادر	ديگران	کپري	كپري	ورثه	تصرفي	ورثه اي	شريك با بردار	ميراثي	9	چادركپر	موروثي	ارثي	14	ساير	بين وراث	کميته امداد	منزل پدري	ورثه اي نامعلوم	انحصاروراثت نشده	خانه ارثي مي باشد	چادر نشين	وراثي	فروخته شده وقت گرفته	خانه اقوام	فروخته	فروخته شده	مصادره اي	ارثيه	وارثي	انحصار ورثه	تقسيم ورثه نشده	انصارورثه	مال پدري	در تملك بانك مي باشد	فروش منزل	وارث
1387	99.9105			0.010233319688907082	0.0025583299222267705										0.06651657797789602	0.0076749897666803105	0.0025583299222267705
1388	99.9352														0.0485895532460521			0.013497098123903362	0.0026994196247806723
1389	99.9692	0.007702182284980745		0.0051347881899871635	0.0051347881899871635															0.0051347881899871635	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818
1390	99.9585	0.0025965258484148207																	0.0025965258484148207					0.020772206787318566	0.0051930516968296415	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207
1391	99.9581	0.007855048177628823			0.005236698785085881	0.005236698785085881	0.0026183493925429407																				0.005236698785085881			0.005236698785085881	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407
1392	99.9426	0.0026088544520101223	0.0026088544520101223					0.005217708904020245																0.005217708904020245				0.005217708904020245							0.01304427226005061	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223
1393	99.9799				0.002509032517061421	0.005018065034122842	0.002509032517061421								0.005018065034122842																											0.002509032517061421			0.002509032517061421
1394	99.9097	0.03763454349298743			0.007526908698597486	0.005017939132398324			0.007526908698597486																																					0.010035878264796648	0.010035878264796648	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162
1395	99.8796	0.08779851495083284	0.0050170579971904475	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238

Other_Event_Name

Column Metadata

1389:
  column_code: DYCOL59
  type: string
1391:
  column_code: DYCOL60
  type: string

Column Codes

Years	Other_Event_Name
1369-1388
1389-1390	DYCOL59
1391-1395	DYCOL60
1396-1401

Summary Statistics

string data

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انعام	مسافرت دستجمعي داخل كشور	مشهد	سوريه	سفر داخلي	مسافرت تفريحي داخل كشور	نذري ماه محرم	سفر مشهد	مسافرت مذهبي داخلي	مسافرت مذهبي دستجمعي داخل كشور	مسافرت مذهبي داخلي	مسافرت دستجمعي مذهبي داخل كشور	سفره ابوالفضل ع	هزينه مسافرت مذهبي داخل كشور	مشهد مقدس	سفر مذهبي داخلي	نذري عاشورا	سفر مذهبي	دعاي كميل و مراسم محرم	نذري ماه رمضان	شاه چراغ	قم	جشن امام زمان عج	مراسم ماه محرم	مراسم يادبود گذشتگان	مراسم سمنو پزي ماه صفر	مشهدمقدس	مسافرت مذهبي دسته جمعي	نذري رفع بلا	زيارت عاشورا محرم	زيارت عاشورا	سفره اربعين	سفر به مشهد	سفربه قم	مسافرت هاي مذهبي داخل كشور	مسافرت تفريحي دستجمعي	مشه	مراسم محرم	نذر ماه محرم	نذري پخت حليم	مولودي عيد غدير و افطاري	مسافرت داخل كشور	دعاي گميل	سفراصفهان	سفره امام حسين	ايام فاطميه زيارت عاشورا	جلسات قران	ختم براي يادبود گذشتگان	مسافرت داخل كشور دستجمعي	مسافرت دستجمعي خارج از كشور	نذر عاشورا	جلسه ختم قران	ختم قران	سفر زيارتي داخل كشور	سفرزيارتي مشهد	سفر مشهد مقدس	هيئت بسيج راهيان نور	سفر مشهد	سفر تفريحي	بستري در بيمارستان	بستري بيمارستان	تولد فرزند	طلاق	گاز کشي 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1389	99.2426	0.30552				0.0154044	0.00256739		0.01540436456996149						0.07702182284980745																			0.010269576379974327	0.007702182284980745				0.025673940949935817	0.01540436456996149	0.01540436456996149	0.01540436456996149	0.012836970474967908	0.010269576379974327	0.010269576379974327	0.010269576379974327	0.007702182284980745	0.007702182284980745	0.007702182284980745	0.007702182284980745	0.007702182284980745	0.007702182284980745	0.007702182284980745	0.007702182284980745	0.0051347881899871635	0.0051347881899871635	0.0051347881899871635	0.0051347881899871635	0.0051347881899871635	0.0051347881899871635	0.0051347881899871635	0.0051347881899871635	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818	0.0025673940949935818
1390	99.4132	0.285618	0.0025965258484148207			0.0181757	0.00519305		0.007789577545244463						0.062316620361955705																			0.0025965258484148207	0.0025965258484148207	0.007789577545244463				0.012982629242074103	0.007789577545244463	0.010386103393659283	0.0025965258484148207	0.0051930516968296415			0.015579155090488926		0.0025965258484148207		0.0025965258484148207	0.0025965258484148207								0.0025965258484148207															0.0025965258484148207																													0.020772206787318566	0.015579155090488926	0.007789577545244463	0.007789577545244463	0.0051930516968296415	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207	0.0025965258484148207
1391	99.1909	0.295873			0.013091746962714704	0.0445119	0.00785505																																	0.020946795140343526	0.0026183493925429407			0.0026183493925429407							0.0026183493925429407																																																					0.02880184331797235	0.0026183493925429407	0.015710096355257646	0.0026183493925429407						0.0026183493925429407																		0.0026183493925429407				0.0759321323837453	0.04451193967322999	0.023565144532886467	0.018328445747800588	0.018328445747800588	0.015710096355257646	0.005236698785085881	0.005236698785085881	0.005236698785085881	0.005236698785085881	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407	0.0026183493925429407
1392	99.1521	0.315671			0.057394797944222684	0.0495682	0.0652214		0.005217708904020245					0.018261981164070858																				0.01043541780804049			0.0026088544520101223				0.03391510787613159																																																															0.06783021575226318		0.018261981164070858																									0.0026088544520101223					0.007826563356030368		0.007826563356030368				0.023479690068091103																0.01043541780804049																																				0.0026088544520101223							0.01043541780804049	0.005217708904020245	0.005217708904020245	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223	0.0026088544520101223
1393	99.3502	0.318647			0.02007226013649137	0.0401445	0.0351265							0.02759935768767563																				0.005018065034122842			0.007527097551184264				0.007527097551184264																																																															0.06021678040947411		0.02007226013649137	0.002509032517061421																																			0.030108390204737056																0.002509032517061421																																																																														0.002509032517061421																	0.005018065034122842	0.005018065034122842	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421	0.002509032517061421
1394	99.5459	0.223298			0.005017939132398324	0.0275987	0.0426525		0.005017939132398324					0.012544847830995812		0.005017939132398324													0.002508969566199162								0.005017939132398324				0.002508969566199162																																		0.002508969566199162																													0.020071756529593296		0.002508969566199162																	0.002508969566199162															0.002508969566199162				0.027598665228190784					0.002508969566199162											0.002508969566199162																																																															0.002508969566199162																																	0.002508969566199162																									0.010035878264796648	0.005017939132398324	0.005017939132398324	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162	0.002508969566199162
1395	99.1697	0.200682	0.2006823198876179	0.190648203893237	0.05769616696769014	0.0301023	0.0250853	0.02006823198876179	0.012542644992976118	0.007525586995785672	0.007525586995785672	0.0050170579971904475	0.0050170579971904475	0.0050170579971904475	0.0050170579971904475	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238	0.0025085289985952238

Surgery_Year

Column Metadata

1391:
  column_code: DYCOL57
  type: boolean
  true_condition: 2

Column Codes

Years	Surgery_Year
1369-1390
1391-1395	DYCOL57
1396-1401

Summary Statistics

boolean data

Year	Missing	True	False
1391	91.91	8.09	0
1392	90.48	9.52	0
1393	90.95	9.05	0
1394	91.06	8.94	0
1395	88.56	11.44	0