members_properties

Old to New Titles

Years	ADDRESS	COL01	COL03	COL04	COL05	COL06	COL07	COL08	COL09	COL10	COL11	COL12	COL13	COL14	COL15
1363	ID	Member_Number	Relationship	Sex	Age	Weeks_in_Household	Marrital_State	Nationality	Literacy_Status	Education_Level	Activity_State	Job_Code	Work_Place	Work_Type	Weeks_in_Employment
1364-1365	ID	Member_Number	Relationship	Sex	Age	Marrital_State	Nationality	Weeks_in_Household	Literacy_Status	Education_Level	Activity_State	Job_Code	Work_Place	Work_Type	Weeks_in_Employment
1366-1368	ID	Member_Number	Relationship	Sex	Age	Weeks_in_Household	Literacy_Status	Education_Level	Activity_State	Job_Code	Work_Place	Work_Type	Weeks_in_Employment
1369-1383	ID	Member_Number	Relationship	Sex	Age	Is_Literate	Is_Student	Education_Level	Activity_State	Marrital_State

Years	ADDRESS	DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10
1384-1401	ID	Member_Number	Relationship	Sex	Age	Is_Literate	Is_Student	Education_Level	Activity_State	Marrital_State

New to Old Titles

Years	ID	Member_Number	Relationship	Sex	Age	Is_Literate	Is_Student	Education_Level	Activity_State	Marrital_State	Weeks_in_Household	Nationality	Literacy_Status	Job_Code	Work_Place	Work_Type	Weeks_in_Employment
1363	ADDRESS	COL01	COL03	COL04	COL05			COL10	COL11	COL07	COL06	COL08	COL09	COL12	COL13	COL14	COL15
1364-1365	ADDRESS	COL01	COL03	COL04	COL05			COL10	COL11	COL06	COL08	COL07	COL09	COL12	COL13	COL14	COL15
1366-1368	ADDRESS	COL01	COL03	COL04	COL05			COL08	COL09		COL06		COL07	COL10	COL11	COL12	COL13
1369-1383	ADDRESS	COL01	COL03	COL04	COL05	COL06	COL07	COL08	COL09	COL10
1384-1401	ADDRESS	DYCOL01	DYCOL03	DYCOL04	DYCOL05	DYCOL06	DYCOL07	DYCOL08	DYCOL09	DYCOL10

Columns Details

ID

Column Metadata

1363:
  column_code: ADDRESS
  type: UInt64

Column Codes

Years	ID
1363-1401	ADDRESS

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	144063	618822	511334	1001	1.00311e+06	1.23452e+06
1364	145536	591642	509223	1001	232110	1.23442e+06
1365	30546	553151	522907	1001	184004	1.23422e+06
1366	31331	553153	519409	1001	193028	1.23421e+06
1367	45728	558177	518133	1001	194016	1.23428e+06
1368	63783	537683	513157	1001	162010	1.23428e+06
1369	101571	559528	508893	1001	194051	1.23422e+06
1370	102828	556809	508195	1001	193094	1.23422e+06
1371	100096	559495	507585	1001	194035	1.23422e+06
1372	66245	598828	511359	1001	1.001e+06	1.23422e+06
1373	104370	694414	514749	1001	1.03316e+06	1.24404e+06
1374	193671	6.51532e+06	5.12211e+06	10001	1.021e+07	1.24401e+07
1375	113827	577456	518178	1001	232231	1.24404e+06
1376	111735	581111	518986	1001	233071	1.25406e+06
1377	89035	5.58558e+07	5.14156e+07	11001	2.30841e+07	1.27074e+08
1378	139841	5.70616e+07	5.10581e+07	11001	2.30941e+07	1.27074e+08
1379	132708	5.55175e+07	5.07616e+07	11001	2.30631e+07	1.27074e+08
1380	130965	5.57576e+07	5.08053e+07	11001	2.30921e+07	1.27074e+08
1381	153114	5.74588e+07	5.0895e+07	11001	2.40511e+07	1.27074e+08
1382	108120	5.85296e+07	5.10584e+07	11001	2.50111e+07	1.27114e+08
1383	112774	5.82826e+07	5.09254e+07	11001	2.40911e+07	1.27114e+08
1384	120639	5.95681e+07	5.09354e+07	11001	2.60331e+07	1.29214e+08
1385	135270	5.73392e+07	5.09995e+07	11001	2.50141e+07	1.29214e+08
1386	133476	6.01405e+07	5.06462e+07	11001	2.70726e+07	1.29214e+08
1387	161250	1.67e+09	5.03916e+08	1e+09	2.01046e+09	2.29786e+09
1388	150470	1.6497e+09	5.03482e+08	1e+09	2.00018e+09	2.29025e+09
1389	152291	1.66777e+09	5.02293e+08	1e+09	2.01006e+09	2.29013e+09
1390	150540	1.67266e+09	5.02986e+08	1e+09	2.01006e+09	2.30013e+09
1391	146063	1.67121e+09	5.03267e+08	1e+09	2.01005e+09	2.30013e+09
1392	140359	1.66295e+10	5.02755e+09	1.0001e+10	2.0011e+10	2.30047e+10
1393	139033	1.66282e+10	5.03207e+09	1.0001e+10	2.0011e+10	2.30047e+10
1394	137616	1.66073e+10	5.03536e+09	1.0001e+10	2.0007e+10	2.30047e+10
1395	135552	1.66132e+10	5.03158e+09	1.0001e+10	2.001e+10	2.30047e+10
1396	134389	1.66181e+10	5.03417e+09	1.0001e+10	2.0009e+10	2.30047e+10
1397	135830	1.63155e+10	5.03728e+09	1.0001e+10	1.29044e+10	2.30067e+10
1398	132541	1.63517e+10	5.03661e+09	1.0001e+10	1.29074e+10	2.30067e+10
1399	128955	1.64175e+10	5.02911e+09	1.0001e+10	1.30014e+10	2.30067e+10
1400	128914	1.63882e+10	5.02475e+09	1.0001e+10	1.29114e+10	2.30067e+10
1401	126478	1.63849e+10	5.03047e+09	1.0001e+10	1.29114e+10	2.30067e+10

Member_Number

Column Metadata

1363:
  column_code: DYCOL01
  type: UInt8
1364:
  column_code: DYCOL01
  type: UInt8
1365:
  column_code: DYCOL01
  type: UInt8
1366:
  column_code: DYCOL01
  type: UInt8
1367:
  column_code: DYCOL01
  type: UInt8
1368:
  column_code: DYCOL01
  type: UInt8
1369:
  column_code: DYCOL01
  type: UInt8
1370:
  column_code: DYCOL01
  type: UInt8
1371:
  column_code: DYCOL01
  type: UInt8
1372:
  column_code: DYCOL01
  type: UInt8
1373:
  column_code: DYCOL01
  type: UInt8
1374:
  column_code: DYCOL01
  type: UInt8
1375:
  column_code: DYCOL01
  type: UInt8
1376:
  column_code: DYCOL01
  type: UInt8
1377:
  column_code: DYCOL01
  type: UInt8
1378:
  column_code: DYCOL01
  type: UInt8
1379:
  column_code: DYCOL01
  type: UInt8
1380:
  column_code: DYCOL01
  type: UInt8
1381:
  column_code: DYCOL01
  type: UInt8
1382:
  column_code: DYCOL01
  type: UInt8
1383:
  column_code: DYCOL01
  type: UInt8
1384:
  column_code: DYCOL01
  type: UInt8
1385:
  column_code: DYCOL01
  type: UInt8
1386:
  column_code: DYCOL01
  type: UInt8
1387:
  column_code: DYCOL01
  type: UInt8
1388:
  column_code: DYCOL01
  type: UInt8
1389:
  column_code: DYCOL01
  type: UInt8
1390:
  column_code: DYCOL01
  type: UInt8
1391:
  column_code: DYCOL01
  type: UInt8
1392:
  column_code: DYCOL01
  type: UInt8
1393:
  column_code: DYCOL01
  type: UInt8
1394:
  column_code: DYCOL01
  type: UInt8
1395:
  column_code: DYCOL01
  type: UInt8
1396:
  column_code: DYCOL01
  type: UInt8
1397:
  column_code: DYCOL01
  type: UInt8
1398:
  column_code: DYCOL01
  type: UInt8
1399:
  column_code: DYCOL01
  type: UInt8
1400:
  column_code: DYCOL01
  type: UInt8
1401:
  column_code: DYCOL01
  type: UInt8

Column Codes

Years	Member_Number
1363-1383	COL01
1384-1401	DYCOL01

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	144063	3.77	2.43	0	3	80
1364	145536	3.75	2.38	1	3	52
1365	30546	3.8	2.43	1	3	25
1366	31331	3.84	2.48	1	3	33
1367	45728	3.86	2.46	0	3	23
1368	63783	3.9	2.51	0	3	32
1369	101571	3.89	2.5	1	3	56
1370	102828	3.89	2.48	1	3	25
1371	100096	3.81	2.45	0	3	28
1372	66245	3.69	2.33	1	3	21
1373	104370	3.71	2.38	1	3	34
1374	193671	3.76	2.42	1	3	33
1375	113827	3.68	2.37	1	3	30
1376	111735	3.62	2.34	1	3	40
1377	89035	3.61	2.32	1	3	26
1378	139841	3.61	2.31	1	3	29
1379	132708	3.51	2.22	1	3	22
1380	130965	3.47	2.21	1	3	25
1381	153114	3.42	2.16	1	3	22
1382	108120	3.34	2.1	1	3	24
1383	112774	3.3	2.1	1	3	21
1384	120639	3.23	2.05	1	3	24
1385	135270	3.16	1.99	1	3	24
1386	133476	3.08	1.94	1	3	24
1387	161250	2.99	1.85	1	3	28
1388	150470	2.96	1.84	1	3	26
1389	152291	2.89	1.75	1	3	19
1390	150540	2.84	1.7	1	3	18
1391	146063	2.79	1.67	1	2	20
1392	140359	2.67	1.57	1	2	19
1393	139033	2.65	1.54	1	2	16
1394	137616	2.63	1.53	1	2	17
1395	135552	2.61	1.51	1	2	20
1396	134389	2.59	1.49	1	2	16
1397	135829	2.56	1.47	1	2	17
1398	132541	2.54	1.45	1	2	18
1399	128955	2.52	1.43	1	2	18
1400	128914	2.5	1.41	1	2	16
1401	126478	2.48	1.39	1	2	16

Relationship

Column Metadata

1363:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1364:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1365:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1366:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1367:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1368:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1369:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace:
    0: null
1370:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1371:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace:
    0: null
1372:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1373:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1374:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1375:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1376:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1377:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1378:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1379:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1380:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1381:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1382:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1383:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1384:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1385:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1386:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1387:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1388:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1389:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1390:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1391:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1392:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1393:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1394:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1395:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1396:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1397:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1398:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1399:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1400:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null
1401:
  column_code: DYCOL03
  type: category
  categories:
    1: Head
    2: Spouse
    3: Child
    4: Child_in_Law
    5: Grand_Child
    6: Parent
    7: Sibling
    8: Other_Family
    9: Non_Family
  replace: null

Column Codes

Years	Relationship
1363-1383	COL03
1384-1401	DYCOL03

Summary Statistics

category data

Year	Child	Head	Spouse	Grand_Child	Parent	Child_in_Law	Sibling	Other_Family	Non_Family	nan
1363	56.67	18.84	16.43	1.79	2.09	1.22	1.56	1.28	0.12
1364	57	18.94	16.77	1.75	1.85	1.15	1.4	1.04	0.1
1365	56.45	18.62	16.5	2.47	1.91	1.47	1.46	1.04	0.08
1366	57.66	18.4	16.28			7.65
1367	58.11	18.19	16.1			7.61
1368	58.61	18.06	15.95			7.38
1369	58.51	18.17	15.92	2.26	1.69	1.34	1.23	0.8	0.07	0.0
1370	58.79	18.16	15.86	2.27	1.59	1.36	1.14	0.78	0.05
1371	57.87	18.65	16.5	2.01	1.61	1.22	1.25	0.81	0.07	0.0
1372	57.89	19.28	16.92	1.68	1.48	1.04	1.03	0.61	0.08
1373	57.8	19.08	16.9	1.8	1.41	1.18	1.05	0.73	0.07
1374	58.08	18.89	16.57	1.93	1.48	1.16	1.1	0.72	0.06
1375	56.89	19.3	17.15	1.85	1.49	1.19	1.29	0.76	0.08
1376	56.52	19.64	17.47	1.83	1.45	1.2	1.11	0.69	0.08
1377	56.56	19.63	17.48	1.89	1.38	1.28	1.14	0.59	0.04
1378	56.65	19.64	17.35	1.73	1.48	1.27	1.16	0.65	0.07
1379	56.06	20.3	17.86	1.57	1.31	1.14	1.1	0.58	0.09
1380	55.57	20.59	18.03	1.7	1.23	1.23	0.99	0.58	0.08
1381	55.08	21	18.19	1.55	1.26	1.28	0.96	0.57	0.11
1382	53.61	21.4	18.91	1.61	1.4	1.24	1.22	0.49	0.12
1383	53.16	21.77	19.12	1.59	1.26	1.26	1.12	0.57	0.15
1384	52.45	22.29	19.6	1.45	1.29	1.18	1.07	0.53	0.13
1385	51.79	22.85	19.85	1.44	1.21	1.19	1.04	0.5	0.12
1386	50.84	23.44	20.37	1.44	1.15	1.22	0.93	0.46	0.14
1387	50.18	24.24	20.75	1.12	1.16	1.04	0.9	0.45	0.15
1388	49.67	24.5	20.84	1.23	1.15	1.2	0.8	0.45	0.16
1389	48.84	25.14	21.26	1.29	1.07	1.15	0.74	0.4	0.11
1390	48.44	25.58	21.56	1.23	0.95	1.14	0.64	0.36	0.1
1391	47.62	26.15	21.85	1.24	0.98	1.11	0.62	0.33	0.11
1392	46.07	27.3	23.2	0.96	0.84	0.81	0.5	0.26	0.06
1393	45.89	27.53	23.13	0.98	0.84	0.83	0.49	0.25	0.06
1394	45.59	27.8	23.13	1.07	0.84	0.85	0.43	0.22	0.06
1395	44.99	28.14	23.33	1.14	0.83	0.84	0.46	0.23	0.05
1396	44.55	28.25	23.47	1.28	0.84	0.84	0.47	0.25	0.05
1397	43.59	28.68	23.99	1.21	0.86	0.75	0.5	0.35	0.08
1398	43.61	28.92	23.92	1.16	0.85	0.69	0.49	0.3	0.05
1399	43.89	29.12	23.89	1.08	0.77	0.61	0.39	0.22	0.03
1400	43.78	29.47	23.97	0.98	0.7	0.54	0.36	0.19	0.02
1401	43.35	30.01	24.11	0.9	0.66	0.45	0.31	0.18	0.05

Categories

	1363-1401
1	Head
2	Spouse
3	Child
4	Child_in_Law
5	Grand_Child
6	Parent
7	Sibling
8	Other_Family
9	Non_Family

Replacements

Year	Value	Replace_Value	Frequency
1369	0	nan	1
1371	0	nan	2

Sex

Column Metadata

1363:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1364:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1365:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1366:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1367:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1368:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1369:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace:
    0: null
    3: null
    4: null
    5: null
    6: null
    8: null
1370:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1371:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1372:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1373:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1374:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1375:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1376:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1377:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1378:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1379:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1380:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1381:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1382:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1383:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1384:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1385:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1386:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1387:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1388:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1389:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1390:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1391:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1392:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1393:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1394:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1395:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1396:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1397:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1398:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1399:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1400:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null
1401:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null

Column Codes

Years	Sex
1363-1383	COL04
1384-1401	DYCOL04

Summary Statistics

category data

Year	Female	Male	nan
1363	49.72	50.28
1364	49.7	50.3
1365	49.84	50.16
1366	50.1	49.9
1367	50.14	49.86
1368	49.89	50.11
1369	50.28	49.68	0.04
1370	50.13	49.87
1371	50.15	49.85	0.0
1372	49.8	50.2
1373	49.8	50.2
1374	49.91	50.09
1375	49.61	50.39
1376	50.15	49.85
1377	49.85	50.15
1378	49.86	50.14
1379	49.68	50.32
1380	49.76	50.24
1381	50.18	49.82
1382	49.8	50.2
1383	49.57	50.43
1384	49.93	50.07
1385	50.04	49.96
1386	49.97	50.03
1387	49.66	50.34
1388	49.91	50.09
1389	49.93	50.07
1390	50.02	49.98	0.0
1391	50.01	49.99
1392	49.96	50.04
1393	50.06	49.94
1394	50.1	49.9
1395	50	50
1396	49.98	50.02
1397	49.91	50.09
1398	50.07	49.93
1399	50.05	49.95
1400	49.97	50.03
1401	50.06	49.94	0.0

Categories

	1363-1401
1	Male
2	Female

Replacements

Year	Value	Replace_Value	Frequency
1369	0	nan	1
1369	3	nan	13
1369	4	nan	2
1369	5	nan	4
1369	6	nan	1
1369	8	nan	2

Age

Column Metadata

1363:
  column_code: DYCOL05
  type: UInt8
1364:
  column_code: DYCOL05
  type: UInt8
1365:
  column_code: DYCOL05
  type: UInt8
1366:
  column_code: DYCOL05
  type: UInt8
1367:
  column_code: DYCOL05
  type: UInt8
1368:
  column_code: DYCOL05
  type: UInt8
1369:
  column_code: DYCOL05
  type: UInt8
1370:
  column_code: DYCOL05
  type: UInt8
1371:
  column_code: DYCOL05
  type: UInt8
1372:
  column_code: DYCOL05
  type: UInt8
1373:
  column_code: DYCOL05
  type: UInt8
1374:
  column_code: DYCOL05
  type: UInt8
1375:
  column_code: DYCOL05
  type: UInt8
1376:
  column_code: DYCOL05
  type: UInt8
1377:
  column_code: DYCOL05
  type: UInt8
1378:
  column_code: DYCOL05
  type: UInt8
1379:
  column_code: DYCOL05
  type: UInt8
1380:
  column_code: DYCOL05
  type: UInt8
1381:
  column_code: DYCOL05
  type: UInt8
1382:
  column_code: DYCOL05
  type: UInt8
1383:
  column_code: DYCOL05
  type: UInt8
1384:
  column_code: DYCOL05
  type: UInt8
1385:
  column_code: DYCOL05
  type: UInt8
1386:
  column_code: DYCOL05
  type: UInt8
1387:
  column_code: DYCOL05
  type: UInt8
1388:
  column_code: DYCOL05
  type: UInt8
1389:
  column_code: DYCOL05
  type: UInt8
1390:
  column_code: DYCOL05
  type: UInt8
1391:
  column_code: DYCOL05
  type: UInt8
1392:
  column_code: DYCOL05
  type: UInt8
1393:
  column_code: DYCOL05
  type: UInt8
1394:
  column_code: DYCOL05
  type: UInt8
1395:
  column_code: DYCOL05
  type: UInt8
1396:
  column_code: DYCOL05
  type: UInt8
1397:
  column_code: DYCOL05
  type: UInt8
1398:
  column_code: DYCOL05
  type: UInt8
1399:
  column_code: DYCOL05
  type: UInt8
1400:
  column_code: DYCOL05
  type: UInt8
1401:
  column_code: DYCOL05
  type: UInt8

Column Codes

Years	Age
1363-1383	COL05
1384-1401	DYCOL05

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	144063	23.03	19.96	0	17	99
1364	145536	22.17	19.5	0	16	99
1365	30546	22.47	19.71	0	16	99
1366	31331	21.94	19.38	0	16	99
1367	45728	22.06	19.44	0	16	99
1368	63783	22.6	19.59	0	16	99
1369	101569	22.8	19.67	0	16	99
1370	102828	23.16	19.79	0	16	99
1371	100094	22.96	19.45	0	16	99
1372	66245	23.87	19.67	0	17	99
1373	104370	23.98	19.18	0	18	99
1374	193671	24.25	19.43	0	17	99
1375	113827	24.4	19.11	0	18	99
1376	111735	24.72	19.08	0	18	99
1377	89035	25.25	19.15	0	19	99
1378	139841	25.68	19.26	0	19	99
1379	132708	25.95	19.12	0	20	99
1380	130965	26.56	19.19	0	21	99
1381	153114	27.15	19.28	0	21	99
1382	108120	26.85	18.88	0	22	99
1383	111327	27.6	18.76	1	23	99
1384	119062	28.28	18.99	1	23	99
1385	135270	28.56	19.31	0	24	99
1386	133472	28.88	19.48	0	24	99
1387	161250	29.14	19.41	0	25	99
1388	150469	29.74	19.71	0	25	99
1389	152291	30.52	19.94	0	27	99
1390	150476	31.26	20.12	0	27	99
1391	146063	32.11	20.38	0	29	99
1392	140359	30.83	20.18	0	28	99
1393	139033	31.66	20.53	0	29	99
1394	137616	32.29	20.75	0	30	99
1395	135552	32.89	20.97	0	31	99
1396	134389	33.23	21.12	0	31	99
1397	135830	32.57	21.08	0	31	99
1398	132541	33.42	21.33	0	32	99
1399	128955	33.72	21.25	0	33	99
1400	128914	34.17	21.24	0	33	99
1401	126478	34.77	21.38	0	34	99

Is_Literate

Column Metadata

1363:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1369:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1370:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1371:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1372:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1373:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1374:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1375:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1376:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1377:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1378:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1379:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1380:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1381:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1382:
  column_code: DYCOL06
  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: DYCOL06
  type: boolean
  true_condition: 1
1388:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1389:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1390:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1391:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1392:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1393:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1394:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1395:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1396:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1397:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1398:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1399:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1400:
  column_code: DYCOL06
  type: boolean
  true_condition: 1
1401:
  column_code: DYCOL06
  type: boolean
  true_condition: 1

Column Codes

Years	Is_Literate
1363-1368
1369-1383	COL06
1384-1401	DYCOL06

Summary Statistics

boolean data

Year	True	False	Missing
1369	54.34	45.66	0
1370	56.86	43.14	0
1371	57.6	42.4	0
1372	61.57	38.43	0
1373	64.67	35.33	0
1374	64.55	35.45	0
1375	65.98	34.02	0
1376	66.85	33.15	0
1377	67.68	32.32	0
1378	68.55	31.45	0
1379	69.13	30.87	0
1380	69.82	30.18	0
1381	70.72	29.28	0
1382	71.45	28.55	0
1383	71.91	19.34	8.75
1384	72.44	27.56	0
1385	72.24	19.42	8.34
1386	72.22	18.94	8.83
1387	72.7	18.37	8.93
1388	72.14	18.82	9.04
1389	72.39	18.79	8.82
1390	72.91	18.75	8.34
1391	73.41	18.83	7.77
1392	73.12	16.83	10.05
1393	73.6	16.86	9.54
1394	74.03	16.85	9.12
1395	74.14	16.99	8.87
1396	74.55	16.68	8.77
1397	75.01	15.03	9.95
1398	75.51	15.18	9.31
1399	76.96	14.32	8.72
1400	78.26	13.89	7.85
1401	78.93	13.96	7.11

Is_Student

Column Metadata

1363:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1369:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1370:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1371:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1372:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1373:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1374:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1375:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1376:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1377:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1378:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1379:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1380:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1381:
  column_code: DYCOL07
  type: boolean
  true_condition: 1
1382:
  column_code: DYCOL07
  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: 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	Is_Student
1363-1368
1369-1383	COL07
1384-1401	DYCOL07

Summary Statistics

boolean data

Year	False	True	Missing
1369	26.12	29.17	44.71
1370	69.48	30.52	0
1371	70.31	29.69	0
1372	68.74	31.26	0
1373	67.12	32.88	0
1374	66.38	33.62	0
1375	67.66	32.34	0
1376	68.4	31.6	0
1377	68.46	31.54	0
1378	68.31	31.69	0
1379	69.13	30.87	0
1380	70.18	29.82	0
1381	70.91	29.09	0
1382	72.19	27.81	0
1383	49.01	26.85	24.14
1384	73.41	26.59	0
1385	51.15	25.55	23.3
1386	47.37	24.85	27.78
1387	48.09	24.61	27.3
1388	48.21	23.93	27.86
1389	48.58	23.82	27.61
1390	49.38	23.58	27.04
1391	50.13	23.28	26.59
1392	50.73	22.39	26.88
1393	51.17	22.42	26.4
1394	51.83	22.2	25.97
1395	52.4	21.74	25.86
1396	53.02	21.53	25.45
1397	53.82	21.2	24.98
1398	54.3	21.2	24.49
1399	55.1	21.86	23.04
1400	55.79	22.47	21.74
1401	56.07	22.86	21.07

Education_Level

Column Metadata

1363:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1364:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1365:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1366:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1367:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1368:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1369:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1370:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1371:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1372:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1373:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1374:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1375:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1376:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1377:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1378:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1379:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1380:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1381:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1382:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1383:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1384:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1385:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1386:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1387:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1388:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1389:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1390:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1391:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1392:
  column_code: DYCOL08
  type: string
  categories: null
  replace: null
1393:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Secondary
    31: Tertiary
    41: Pre_University
    51: College
    52: Bachelors
    53: Masters
    61: PhD
    71: Unofficial
  replace: null
1394:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Secondary
    31: Tertiary
    41: Pre_University
    51: College
    52: Bachelors
    53: Masters
    61: PhD
    71: Unofficial
  replace:
    '1': null
1395:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Secondary
    31: Tertiary
    41: Pre_University
    51: College
    52: Bachelors
    53: Masters
    61: PhD
    71: Unofficial
  replace: null
1396:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Secondary
    31: Tertiary
    41: Pre_University
    51: College
    52: Bachelors
    53: Masters
    61: PhD
    71: Unofficial
  replace: null
1397:
  column_code: DYCOL08
  type: category
  categories:
    1: Primar
    2: Secondary
    3: Tertiary
    4: Pre_University
    5: College
    6: Bachelors
    7: Masters
    8: PhD
    9: Unofficial
  replace: null
1398:
  column_code: DYCOL08
  type: category
  categories:
    1: Primar
    2: Secondary
    3: Tertiary
    4: Pre_University
    5: College
    6: Bachelors
    7: Masters
    8: PhD
    9: Unofficial
  replace: null
1399:
  column_code: DYCOL08
  type: category
  categories:
    1: Primar
    2: Secondary
    3: Tertiary
    4: Pre_University
    5: College
    6: Bachelors
    7: Masters
    8: PhD
    9: Unofficial
  replace: null
1400:
  column_code: DYCOL08
  type: category
  categories:
    1: Primar
    2: Secondary
    3: Tertiary
    4: Pre_University
    5: College
    6: Bachelors
    7: Masters
    8: PhD
    9: Unofficial
  replace: null
1401:
  column_code: DYCOL08
  type: category
  categories:
    1: Primar
    2: Secondary
    3: Tertiary
    4: Pre_University
    5: College
    6: Bachelors
    7: Masters
    8: PhD
    9: Unofficial
  replace: null

Column Codes

Years	Education_Level
1363-1365	COL10
1366-1383	COL08
1384-1401	DYCOL08

Summary Statistics

string data

Year		106	234	346	512	105	104	511	103	354	102	107	101	233	522	341	231	232	342	343	364	521	344	345	514	901	513	353	352	2.0	362	363	108	517	510	602	905	516	520	515	310	601	109	605	1.0	604	606	907	603	05	04	02	01	03	11	06	13	12	34	26	X1	33	31	23	32	47	53	46	65	25	45	X2	22	44	21	24	61	95	89	62	73	96	63	97	64	51	52	74	93	41	81	82	42	83	71	84	91	85	86	43	88	00	92	72	nan	15.0	14.0	12.0	11.0	13.0	16.0	23.0	34.0	21.0	22.0	91.0	37.0	31.0	33.0	32.0	17.0	26.0	18.0	64.0	52.0	36.0	19.0	25.0	72.0	62.0	61.0	41.0	24.0	63.0	42.0	73.0	35.0	87.0	43.0	40.0	51.0	70.0	50.0	88.0	82.0	49.0	93.0	47.0	81.0	89.0	83.0	71.0	60.0	10.0	45.0	84.0	92.0	30.0	85.0	38.0	80.0	20.0	28.0	86.0	29.0	46.0	39.0	94.0	3.0	4.0	6.0	5.0	48.0	44.0	76.0	75.0	78.0	27.0	77.0	106	214	105	313	104	213	212	211	312	103	107	317	102	311	101	512	322	511	522	324	314	319	321	521	901	315	316	323	326	108	216	514	002	513	109	905	328	517	325	602	510	318	215	310	516	520	210	327	301	302	906	515	222	221	100	303	601	605	606	902	908	300	220	907	904	604	903	32A	217	214	313	213	317	212	312	211	311	322	324	314	321	319	315	323	326	301	316	216	302	325	328	100	318	908	327	300	210	221	222	215	902	303	217	903	906	31D	001	31C	603	31b	220	112
1363	54.64900772578664																																																	6.2736441695647045	4.469572339879081	4.468878199121217	4.0017214690795	3.6484038233272944	2.8300118698069596	2.7876692835773236	2.556520411208985	2.498906728306366	2.4614231273817704	1.5347452156348262	1.4070233161880565	0.9801267501023858	0.9495845567564191	0.7913204639636826	0.765637255922756	0.41648445471772766	0.403295780318333	0.35609420878365716	0.30472779270180406	0.23253715388406462	0.21448949417962973	0.1478519814247933	0.1422988553618903	0.11800392883668949	0.10273283216370614	0.06455509048124779	0.06177852744979627	0.054142979113304596	0.03748360092459549	0.03262461561955533	0.031930474861692454	0.02845977107237806	0.02498906728306366	0.02498906728306366	0.02429492652520078	0.021518363493749262	0.018741800462297745	0.018741800462297745	0.010412111367943191	0.006941407578628794	0.006247266820765915	0.0055531260629030355	0.003470703789314397	0.0027765630314515177	0.0013882815157257589	0.0013882815157257589	0.0013882815157257589	0.0013882815157257589	0.0006941407578628794	0.0006941407578628794	0.0006941407578628794
1364	55.7415347405453																																																	6.587373570800352	4.404408531222515	4.528776385224274	4.356310466138962	3.5997966138962183	2.8838225593667546	2.347872691292876	2.5787434036939314	2.257173482849604	2.2269404133685136	1.3893469656992083	1.297273526824978	0.8630167106420404	0.8836301671064204	0.6843667546174143	0.7427715479331574	0.34493183817062445	0.4088335532102023	0.37172933157431837	0.29271108179419525	0.21644129287598945	0.22537379067722077	0.019926341248900616	0.12711631486367633	0.10581574318381706	0.06252748460861918	0.05359498680738786	0.05290787159190853	0.04672383465259455	0.030920184696569923	0.043288258575197885	0.03023306948109059	0.03366864555848725	0.01786499560246262	0.014429419525065964	0.02679749340369393	0.02542326297273527	0.01236807387862797	0.02542326297273527	0.008245382585751979	0.004809806508355321	0.0027484608619173265	0.006184036939313985	0.0006871152154793316	0.0020613456464379947	0.003435576077396658	0.0013742304309586632		0.003435576077396658	0.0027484608619173265			0.0006871152154793316	0.0006871152154793316	0.0006871152154793316
1365	54.31480390231127																																																	6.95017350880639	4.543966476789104	4.570156485300858	4.622536502324364	3.6109474235579126	2.733582138414195	2.5076933150003273	2.560073332023833	2.311268251162182	2.3996595298893473	1.4633667255941858	1.6499705362404242	0.8871865383356249	0.8740915340797486	0.720225234073201	0.6842139723695411	0.25535258298958946	0.4026713808681988	0.25207883192562036	0.38957637661232236	0.21279381915799123	0.1604138021344857	0.06547502127938191	0.10803378511098016	0.05892751915144372	0.0785700255352583	0.03928501276762915	0.0785700255352583	0.03601126170366005	0.02291625744778367	0.09166502979113468	0.05892751915144372	0.02619000851175277	0.05565376808747463	0.009821253191907287	0.04255876383159824	0.01636875531984548	0.013095004255876385	0.04583251489556734	0.02619000851175277		0.006547502127938192	0.006547502127938192	0.006547502127938192	0.003273751063969096	0.006547502127938192	0.006547502127938192		0.006547502127938192	0.003273751063969096					0.003273751063969096
1366																																																																																																									53.161405636589954	6.150458012830743	4.76844020299384	4.1843541540327465	4.09817752385816	3.7790048195078354	3.6704861000287257	2.7799942548913217	2.741693530369283	2.6938176247167345	2.505505729150043	1.3724426287063929	1.305416360792825	1.1554051897481727	1.104337557052121	0.8426159394848552	0.7021799495707127	0.6702626791356804	0.5457853244390539	0.40215760748140816	0.3415147936548466	0.15639462513165875	0.12447735469662635	0.08298490313108423	0.07340972200057451	0.06702626791356803	0.0638345408700648	0.0638345408700648	0.06064281382656155	0.05745108678305831	0.04149245156554211	0.03830072452203887	0.0319172704350324	0.028725543391529156	0.0159586352175162	0.012766908174012957	0.012766908174012957	0.012766908174012957	0.009575181130509718	0.009575181130509718	0.009575181130509718	0.006383454087006479	0.006383454087006479	0.006383454087006479	0.006383454087006479	0.006383454087006479	0.0031917270435032393	0.0031917270435032393	0.0031917270435032393	0.0031917270435032393	0.0031917270435032393	0.0031917270435032393
1367																																																																																																									52.173722883135056	5.764520643806858	4.528953813855844	4.3627536738978305	4.02816655003499	3.9603743876836948	3.5470608817354794	3.1578026592022392	2.7904128761371587	2.9631735479356194	2.4405178446466063	1.5351644506648006	1.312106368089573	1.0628061581525543	1.0912351294611617	0.8375612316305108	1.1327851644506648	0.7041637508747376	0.5576452064380686	0.4286214135759272	0.4920398880335899	0.14870538838348496	0.12465010496850945	0.09622113365990202	0.05685794261721484	0.06779216235129461	0.11152904128761372	0.12027641707487755	0.03280265920223933	0.06560531840447865	0.07435269419174248	0.00874737578726382	0.05029741077676697	0.024055283414975506	0.024055283414975506	0.0065605318404478655	0.01749475157452764	0.00437368789363191		0.010934219734079776	0.00437368789363191	0.015307907627711687		0.0065605318404478655	0.00874737578726382	0.0065605318404478655	0.00874737578726382		0.0065605318404478655	0.0065605318404478655	0.00874737578726382	0.002186843946815955	0.0065605318404478655	0.002186843946815955
1368																																																																																																									50.58244359782387	4.69404073185645	4.969976325980277	4.298951131179154	4.066914381575028	4.143737359484502	5.316463634510763	3.257921389711992	2.8252042080178104	3.2077512816894784	2.713889280842858	1.558408980449336	1.122556167003747	1.2166251195459605	1.0363262938400515	0.9689102111847984	1.2244641989244784	0.5314895818635059	0.6239907185300159	0.3668689149146324	0.46250568333254943	0.1473746923161344	0.06898389853095653	0.07995860966088143	0.03605976514118182	0.0877976890393992	0.07055171440666008	0.017245974632739133	0.04076321276829249	0.053305739773920946	0.03292413338977471	0.009406895254221346	0.026652869886960473	0.01881379050844269	0.015678158757035574	0.0015678158757035576	0.01881379050844269	0.004703447627110673	0.003135631751407115	0.00627126350281423	0.009406895254221346	0.009406895254221346		0.0015678158757035576	0.009406895254221346	0.003135631751407115	0.009406895254221346	0.0015678158757035576	0.015678158757035574		0.004703447627110673	0.0015678158757035576	0.0015678158757035576		0.0015678158757035576	0.0015678158757035576
1369																																													0.000984532986777722																																																												45.6557481958433	4.347697669610421	5.125478729164821	4.529836272164299	4.2305382441838715	4.304378218192201	6.0853983912731	3.754024278583454	3.1180159691250453	3.474416910338581	2.9486762953992773	1.626448494156797	1.0298215041694971	1.409851237065698	1.2208209036043753	0.9825639208041667	1.727855391794902	0.4144883874334209	2.213230154276319	0.3888905297772002	0.5149107520847486	0.14866448100343602	0.049226649338886104	0.0758090399818846	0.03052052259010938	0.06301011115377421	0.08270077088932865	0.014767994801665829	0.03839678648433116	0.04725758336533066	0.022644258695887605	0.013783461814888107	0.040365852457886604	0.03248958856366482	0.014767994801665829	0.000984532986777722	0.013783461814888107	0.001969065973555444	0.016737060775221274	0.00492266493388861	0.003938131947110888	0.00492266493388861	0.001969065973555444	0.003938131947110888	0.0029535989603331663	0.00984532986777722	0.001969065973555444	0.000984532986777722	0.11420582646621574	0.00492266493388861	0.007876263894221776	0.0029535989603331663		0.001969065973555444	0.003938131947110888		0.014767994801665829	0.001969065973555444
1370																																																																																																									43.14097327576147	4.9169486910180105	5.301085307503793	4.6388143307270395	4.356789979383048	4.325670050958882	5.951686311121485	4.043645699614891	3.436807095343681	3.959038394211693	3.0847629050453182	1.4081767611934493	0.87524798692963	1.5025090442291982	1.225347181701482	1.1144824366903956	1.0882249970825066	0.4269265180690085	3.19660014781966	0.4142840471466916	0.531956276500564	0.09433228303574902	0.1769945929124363	0.08266230987668728	0.03695491500369549	0.09627727856225932	0.07682732329715641	0.012642470922316879	0.03695491500369549	0.06223985684832925	0.022367448554868326	0.009724977632551446	0.030147430660909483	0.022367448554868326	0.01069747539580659	0.001944995526510289	0.02139495079161318	0.0009724977632551445	0.01653246197533746	0.007779982106041156	0.007779982106041156	0.0175049597385926	0.005834986579530867	0.005834986579530867	0.003889991053020578	0.0087524798692963	0.004862488816275723	0.0029174932897654336	0.10989224724783132	0.02139495079161318	0.019449955265102892	0.0029174932897654336	0.014587466448827167		0.005834986579530867		0.005834986579530867		0.001944995526510289	0.0009724977632551445
1371																																																																																																									42.404291879795394	4.778412723785166	5.279931265984654	4.51266783887468	3.9621962915601023	4.348825127877238	6.6046595268542205	4.0860773657289	3.8503037084398977	3.897258631713555	3.3407928388746804	1.295756074168798	0.798233695652174	1.5595028772378516	1.402653452685422	1.1578884271099745	0.8931425831202047	0.4136029411764706	3.179947250639386	0.5125079923273658	0.6833439897698209	0.10789641943734014	0.16883791560102301	0.060941496163682864	0.044956841432225066	0.10589833759590793	0.10689737851662404	0.013986572890025575	0.040960677749360616	0.05694533248081842	0.0239769820971867	0.009990409207161126	0.022977941176470586	0.033967391304347824	0.0159846547314578	0.0009990409207161126	0.02597506393861893	0.001998081841432225	0.016983695652173912	0.0069932864450127875	0.0029971227621483376	0.0069932864450127875	0.0069932864450127875	0.0009990409207161126	0.005994245524296675	0.00399616368286445	0.004995204603580563	0.005994245524296675	0.0719309462915601	0.0079923273657289	0.021978900255754476	0.00399616368286445	0.00399616368286445	0.0009990409207161126	0.005994245524296675	0.0009990409207161126	0.00399616368286445		0.001998081841432225	0.004995204603580563	0.001998081841432225	0.0009990409207161126
1372																																																																																																									38.43157974186731	4.8154577703977655	5.425315118122122	4.281077817193751	3.669710921578987	4.392784361083855	7.431504264472791	4.862253755000377	4.457694920371349	4.2448486678239865	3.7693410823458375	1.289153898407427	0.9963016076685033	1.8778775756660882	1.6318212695297758	1.3027398294210883	0.8393086270661937	0.443807079779606	3.2349611291418223	0.673258359121443	0.7140161521624273	0.10868744810929128	0.11472563967091856	0.06038191561627292	0.06340101139708657	0.09057287342440938	0.09057287342440938	0.018114574684881878	0.046795984602611515	0.06340101139708657	0.02717186202732282	0.021133670465695524	0.02868140991772964	0.04528643671220469	0.01509547890406823	0.0030190957808136462	0.010566835232847762	0.010566835232847762	0.07698694241074798	0.018114574684881878	0.0015095478904068231	0.0060381915616272925	0.0030190957808136462		0.0015095478904068231	0.0045286436712204696	0.0030190957808136462	0.0015095478904068231	0.23247037512265076	0.0015095478904068231	0.0015095478904068231	0.0030190957808136462	0.0045286436712204696	0.0015095478904068231	0.0060381915616272925		0.022643218356102345		0.0015095478904068231	0.0045286436712204696			0.0015095478904068231
1373																																																																																																									35.3252850435949	4.497460956213471	5.332950081441027	4.049056242215196	3.452141419948261	4.252179745137492	7.930439781546421	5.638593465555236	5.189230621826195	4.488837788636581	4.118999712561081	1.160295103957076	1.1372999904187027	2.1270480022995115	1.764874964070135	1.653731915301332	0.5011018491903804	0.5930823033438728	3.5412474849094564	0.8192009198045416	0.7617131359586088	0.11401743796109994	0.03257641084602855	0.0689853406151193	0.10635240011497556	0.05365526492287055	0.0651528216920571	0.028743891922966367	0.041199578422918465	0.05078087573057392	0.0546133946536361	0.014371945961483184	0.04503209734598065	0.055571524384401653	0.03832518923062182	0.0038325189230621823	0.015330075692248729	0.02395324326913864	0.05844591357669829	0.018204464884545368		0.015330075692248729			0.0019162594615310911	0.015330075692248729	0.0009581297307655456	0.002874389192296637	0.6591932547666954	0.0019162594615310911	0.013413816230717638	0.0038325189230621823	0.0009581297307655456			0.0009581297307655456	0.056529654115167194			0.0009581297307655456	0.0009581297307655456	0.0009581297307655456
1374																																																																																																									35.447743854268325	4.286134733646235	5.421565438294841	4.07701720959772	3.460507768328764	4.142075994857257	8.180367737038587	5.787133850705578	5.073552571112867	4.477180372900434	4.2267556836077675	1.1855156425071385	0.9619406106231703	2.1887634183744598	1.8087374981282691	1.69152841674799	0.481744814659913	0.46831998595556384	3.4620567870254195	0.7951629309499099	0.8266596444485751	0.1089476483314487	0.024784299146490697	0.04027448611304739	0.0893267448404769	0.057830031341811625	0.04492154220301439	0.024784299146490697	0.026849657408698255	0.031496713498665264	0.030464034367561482	0.010326791311037791	0.019620903490971803	0.04027448611304739	0.02271894088428314	0.0051633956555188956	0.006712414352174564	0.035111090457528485	0.09655549875820335	0.013941168269901019	0.0005163395655518895	0.004130716524415116	0.0005163395655518895		0.0015490186966556686	0.010326791311037791	0.0005163395655518895	0.0015490186966556686	0.7218427126415415	0.009810451745485902	0.02116992218762747	0.0005163395655518895	0.006196074786622674	0.001032679131103779	0.001032679131103779	0.0005163395655518895	0.03201305306421715		0.0005163395655518895	0.0015490186966556686	0.002065358262207558	0.0005163395655518895	0.001032679131103779	0.0005163395655518895
1375																														1.8756534038497017															0.17658376307905857																																																												34.02004796752967	4.190569899935868	5.2474368998568	4.108866964779885	3.3243430820455604	4.1642141144016795	8.946910662672302	6.112785191562634	0.8917040772400221	4.787089179192986	4.146643590712221	1.1991882418055468		0.2169959675648133	3.049364386305534	3.4306447503667847	0.0008785261844729283	0.5315083416061216	0.0008785261844729283		0.7933091445790541			0.07291767331125304	0.10366608976780554	0.9259665984344664	0.8152722991908773	1.2290581320776266	0.004392630922364641		1.0841013116395934	0.007906735660256355	0.36283131418731934		0.18800460347720663	0.007028209475783426	0.09312377555413039				0.027234311718660774	0.0017570523689458566	0.006149683291310498	0.023720206980769064	0.027234311718660774	0.01581347132051271	0.023720206980769064	0.032505468825498346	0.0017570523689458566	0.0017570523689458566	0.011420840398148066		0.040412204485754694	0.01932757605840442	0.020206102242877347	0.16867702741880222				0.0017570523689458566		0.11157282542806188	1.2764985460391647	0.0008785261844729283	1.1192423590185105	0.3698595236631028	0.1660414488653834	0.1282648229330475	0.0869740922628199	0.08433851370940111	0.06940356857336133	0.04129073067022763	0.007028209475783426	0.0026355785534187847	0.0026355785534187847
1376																														1.7425157739293866															0.030429140376784354																																																												33.154338389940484	4.270819349353381	5.089721215375666	3.7400993421935826	3.0975074954132547	3.9960621112453576	9.075938604734416	6.536895332706851	0.5656240211214033	4.716516758401576	4.559896182932832	0.9620978207365642		0.15930549961963575	3.45281245804806	2.559627690517743		0.5155054369714055			0.8099521188526424			0.10560701660178101	0.10292209245088826	0.9916319863963843	0.8887098939454959	1.6879223161945673	0.0044748735848212295		1.8830268044927732	0.02326934264107039	0.44032756074640894		0.2890768335794514	0.0017899494339284915	0.08502259811160334				0.03400903924464134	0.010739696603570948	0.002684924150892737	0.043853761131248045	0.024164317358034634	0.00805477245267821	0.02505929207499888	0.05101355886696201		0.005369848301785474	0.04832863471606927		0.030429140376784354	0.01610954490535642	0.008949747169642459	0.10560701660178101						0.2872868841455229	1.1214033203562		1.3612565445026177	0.40273862263391064	0.1897346399964201	0.13424620754463684	0.258647693202667	0.17452006980802792	0.06712310377231842	0.043853761131248045	0.0017899494339284915	0.0008949747169642458	0.002684924150892737
1377																														1.7554894142752848															0.046049306452518673																																																												32.31650474532487	5.275453473353176	5.0126354804290445	3.7153928230471167	2.913460998483742	3.954624585837031	7.95754478575841	6.906272814061885	0.551468523614309	4.571236030774414	4.584713876565396	0.8356264390408267		0.14151738080530127	3.3762003706407593	2.1160217891840287		0.4369068343909699			0.7435278261357893			0.1066996125119335	0.1066996125119335	1.1647105071039479	1.0108384343235806	1.8262481046779355	0.008985230527320717		2.44510585724715	0.010108384343235806	0.3818722974111305		0.526759139664177	0.021339922502386702	0.09546807435278262				0.02807884539787724	0.044926152636603586		0.1179311506710844	0.031448306845622505	0.006738922895490537	0.02807884539787724	0.04155669118885831		0.005615769079575448	0.09322176672095243		0.037064075925197955	0.013477845790981074	0.022463076318301793	0.15387207278036727				0.0011231538159150896		0.3324535295108665	1.1748188914471835	0.0011231538159150896	1.2983658111978436	0.3346998371426967	0.25158645476498004	0.162857303307688	0.5402369854551581	0.25158645476498004	0.06289661369124501	0.03818722974111304	0.006738922895490537	0.0022463076318301792	0.0011231538159150896
1378																														1.5374604014559392															0.045766263113107025																																																												31.446428443732525	5.079340107693739	4.8426427156556375	3.4989738345692607	4.3685328337182945	3.6713124191045545	7.911842735678378	7.244656431232614	0.30391659098547635	4.534435537503307	4.590213170672406	0.805915289507369		0.08152115617022189	3.5683383271000637	1.8478128731916965		0.3375261904591643			0.7944737237290923			0.0543474374468146	0.1086948748936292	1.1455867735499603	0.945359372430117	2.048755372172682	0.0035754893057114868		2.9404824050171268	0.008581174333707569	0.4269134231019515		0.7537131456439814	0.015017055083988245	0.10511938558791772				0.022168033695411215	0.11370055992162527	0.0007150978611422973	0.1566064315901631	0.031464305890261085	0.005720782889138378	0.01644725080627284	0.030749208029118784		0.009296272194849865	0.12442702783875972		0.03003411016797649	0.09010233050392946	0.015732152945130543	0.10654958131020231				0.0007150978611422973		0.41475675946253243	0.9467895681524017		1.0862336510751498	0.3082071781523301	0.14587996367302866	0.14945545297874013	0.7730207878948234	0.26816169792836153	0.045766263113107025	0.034324697334830276	0.0014301957222845945	0.002860391444569189	0.0014301957222845945
1379																														1.5206317629683215															0.046719112638273504																																																												30.870030442776624	5.924284896163004	4.743497000934383	3.470777948578835	2.551466377309582	3.816650088917021	8.07562467974802	7.8593604002773	0.18687645055309401	4.472224734002472	4.539289266660639	0.8545076408355186		0.06480393043373421	3.704373511770202	1.69394460017482		0.31799137957018414			0.8643035838080598			0.045965578563462645	0.11604424752087289	1.3043674834976038	1.0353558187901257	2.238749736263074	0.003014136299243452		2.999819151822045	0.004521204448865178	0.41595080929559636	0.001507068149621726	0.944931729812822	0.08967055490249269	0.12734725864303584				0.02863429484281279	0.24866624468758478	0.001507068149621726	0.24113090393947612	0.02260602224432589	0.009795942972541218	0.015070681496217257	0.032401965216867105		0.012056545196973807	0.20797540464779818		0.06781806673297766	0.006781806673297767	0.021852488169515027	0.10549477047352082				0.0037676703740543143		0.35265394701148384	0.825119811917895		0.9562347409349852	0.27353286915634323	0.14618561051330742	0.15522801941103775	0.9200651053440636	0.3451186062633752	0.058022123760436445	0.029387828917623652	0.005274738523676041	0.002260602224432589	0.000753534074810863
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1390	27.1197024046765	13.482795270360038			3.460874186262787	2.521588946459413	2.8291483990965856	2.9719675833665473	2.494353660156769		2.348213099508436	2.2133652185465658	2.0373322704928922		1.7955360701474692							0.8874717683007839			0.3062309020858244	0.4503786369071343	0.2504317789291883			0.1262123023781055			0.1481333864753554	0.04184934236747708	0.027899561578318056	0.01992825827022718	0.04450644347017404	0.03321376378371197	0.028563836853992292	0.02125680882157566	0.017935432443204464	0.016606881891855985	0.06842035339444666	0.011956954962136309	0.0026571011026969575	0.0006642752756742394	0.0033213763783711972	0.0006642752756742394																																																																																																																																																																																																									9.783446260130198	4.27926132589345	1.7995217218015145	2.309020858243656	1.9576192374119834	2.4451972897568752	2.000132855055135	1.858642221336522	1.9104556928391125	1.1804171648731234	1.0229839245383288	0.5639697090474293	0.6337186129932244	0.9685133519330411	0.2916168460209911	0.21190381294008237	0.35671582303706656	0.06310615118905274	0.39922944068021793	0.0066427527567423945	0.02258535937292414	0.053142022053939156	0.03188521323236349	0.004649926929719676	0.0006642752756742394	0.007307028032416634	0.0013285505513484788	0.01129267968646207	0.0039856516540454365	0.0006642752756742394	0.011956954962136309	0.0006642752756742394	0.016606881891855985	0.0013285505513484788								0.005978477481068154	0.0006642752756742394
1391	26.594003957196556																																																																																																																																																																																			13.507869891759036	9.712932090947056	2.668026810348959	4.363870384697014	2.9035416224505863	1.8505713288101708	1.9327276586130642	1.4931912941675851	2.275045699458453	2.509191239396699	2.600247838261572	2.3688408426500893	2.366102298323326	1.6944743021846738	2.1052559511991404	3.851762595592313	2.0552775172357136	3.046630563523959	1.797854350519981	1.2857465614152797	0.885234453626175	0.6675201796485077	0.6435579167893306	0.870172459828978	0.5032075200427213	0.9756064164093575	0.09927223184516269	0.23688408426500895	0.17047438434100354	0.1335040359297016	0.4032506521158678	0.3519029459890595	0.1862210142198914	0.32314823055804687	0.039708892738065084	0.05340161437188063	0.0814716937212025	0.0451859813915913	0.0075309968985985505	0.024646898940867985	0.03765498449299275	0.0034231804084538867	0.006161724735216996	0.020539082450723316	0.03423180408453887	0.026700807185940315	0.006846360816907773	0.008900269061980104	0.07188678857753161	0.010954177307052436		0.017115902042269433	0.0034231804084538867	0.0006846360816907773	0.030123987594394202	0.0006846360816907773	0.018485174205650986	0.002738544326763109	0.0034231804084538867	0.002053908245072332	0.0013692721633815545	0.0013692721633815545	0.0006846360816907773			0.002053908245072332			0.0013692721633815545																																								0.0013692721633815545	0.0006846360816907773
1392	26.8739446704522	12.85133122920511	10.076304333886677	7.960301797533467	4.215618521078093	3.6883990339059127	2.8213367151376114	2.7907009881803093	2.522104033229077	2.4921807650382233	2.344701800383303	2.278443135103556	2.231420856517929	1.9991592986555902	1.8987026125862967	1.789696421319616	1.4947384920097748	1.3415598572232632	1.2688890630454763	1.1413589438511247	1.0957615827983955	0.7480817047713364	0.7031968024850562	0.6853853333238339	0.4915965488497353	0.4260503423364373	0.2978077643756368	0.2864084241124545	0.2664595786518855	0.2322615578623387	0.138217000691085	0.13536716562528944	0.06554620651329804	0.05414686625011577	0.049159654884973536	0.03847277338824015	0.03277310325664902	0.02849835065795567	0.02849835065795567	0.02778589189150678	0.01994884546056897	0.019236386694120075	0.019236386694120075	0.01211179902963116	0.009974422730284486	0.0021373762993466753	0.0021373762993466753	0.0014249175328977836	0.0014249175328977836

category data

Year	Primar	nan	Secondary	Pre_University	Bachelors	Tertiary	College	Masters	Unofficial	PhD	Primary
1393		26.4	14.09	12.78	7.07	5.18	2.74	1.05	2.83	0.07	27.78
1394		25.97	14.48	13.21	7.09	4.58	2.72	1.15	2.73	0.08	27.97
1395		25.86	14.55	13.44	7.02	4.41	2.69	1.34	2.93	0.09	27.66
1396		25.45	14.64	13.76	7.09	4.2	2.67	1.4	2.91	0.1	27.78
1397	28.72	24.99	15.38	14.36	7.41	3.93	2.84	1.59	0.71	0.07
1398	29.24	24.49	15.35	14.46	7.39	4.14	2.72	1.56	0.55	0.1
1399	29.46	23.04	15.79	14.67	7.74	4.4	2.7	1.59	0.49	0.1
1400	29.87	21.74	16.03	15.04	8.12	4.42	2.61	1.62	0.44	0.11
1401	30.06	21.07	16.18	15.36	8.02	4.67	2.57	1.66	0.29	0.11

Categories

	1363-1392	1393-1396	1397-1401
1			Primar
2			Secondary
3			Tertiary
4			Pre_University
5			College
6			Bachelors
7			Masters
8			PhD
9			Unofficial
11		Primary
21		Secondary
31		Tertiary
41		Pre_University
51		College
52		Bachelors
53		Masters
61		PhD
71		Unofficial

Replacements

Year	Value	Replace_Value	Frequency
1394	1	nan	1

Activity_State

Column Metadata

1363:
  column_code: DYCOL09
  type: UInt16
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1364:
  column_code: DYCOL09
  type: UInt16
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace:
    ٌق: null
1365:
  column_code: DYCOL09
  type: UInt16
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1366:
  column_code: DYCOL09
  type: UInt16
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1367:
  column_code: DYCOL09
  type: UInt16
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1368:
  column_code: DYCOL09
  type: UInt16
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1369:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace:
    0: null
    9: null
1370:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace:
    7: null
1371:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace:
    9: null
1372:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1373:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1374:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1375:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1376:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1377:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1378:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1379:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1380:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1381:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1382:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1383:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1384:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1385:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1386:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1387:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1388:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1389:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1390:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1391:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1392:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1393:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1394:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1395:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1396:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1397:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1398:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1399:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1400:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null
1401:
  column_code: DYCOL09
  type: category
  categories:
    1: Employed
    2: Unemployed
    3: Income_without_Work
    4: Student
    5: Housekeeper
    6: Other
  replace: null

Column Codes

Years	Activity_State
1363-1365	COL11
1366-1383	COL09
1384-1401	DYCOL09

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	115434	42.71	23.51	1	50	98
1364	114627	42.98	23.76	1	50	98
1365	24140	42.11	22.65	1	50	87
1366	24666	42.55	22.07	1	50	87
1367	36213	42.63	21.98	1	50	87
1368	51469	42.08	21.83	1	50	87

category data

Year	Employed	Housekeeper	Student	nan	Income_without_Work	Unemployed	Other
1369	24.32	1.58	21.16	18.54	27.61	2.07	4.72
1370	23.39	20.86	29.06	17.72	1.9	2.36	4.71
1371	25.03	20.32	28.34	17.69	1.71	2.23	4.68
1372	25.9	19.66	30.09	15.39	2.3	2.24	4.42
1373	25.05	20.32	31.74	13.71	2.52	2.27	4.38
1374	25.97	19.49	22.4	25.22	2.59	2.43	1.89
1375	27.03	19.97	21.65	24.03	2.66	2.66	2
1376	27.4	20.46	21.65	22.84	2.97	2.77	1.91
1377	27.59	21.07	22	21.31	3.05	2.98	1.99
1378	27.55	21.31	22.47	19.91	3.49	3.37	1.91
1379	27.92	21.9	22.34	18.76	3.35	3.69	2.05
1380	27.93	22.54	22	17.3	3.73	4.02	2.48
1381	28.22	22.81	21.82	16.04	4.23	4.25	2.62
1382	29.73	22.47	20.87	16.55	3.7	4.21	2.46
1383	30.39	22.28	20.28	15.77	4.09	4.41	2.8
1384	30.59	22.51	19.78	15.22	4.49	4.61	2.8
1385	30.72	22.63	18.87	14.8	5.34	4.85	2.8
1386	30.6	23.13	18.43	15.04	5.82	4.47	2.51
1387	29.47	23.23	18.16	14.96	6.37	5.27	2.54
1388	29.02	23.28	17.34	14.96	7.53	5.61	2.26
1389	28.79	23.97	17.47	14.6	7.57	5.43	2.17
1390	27.86	24.8	17.38	14.18	7.59	6.03	2.17
1391	28.55	24.67	16.81	13.7	8.1	6.07	2.11
1392	28.64	25.1	15.64	16.32	7.46	5.08	1.77
1393	28.35	25.06	15.45	15.91	8.19	5.13	1.91
1394	27.91	25.55	15.19	15.63	8.45	5.38	1.88
1395	27.82	25.6	14.92	15.26	8.83	5.66	1.92
1396	28.08	25.41	14.83	15.18	9.04	5.44	2.02
1397	28.32	25.36	14.25	16.61	8.82	4.91	1.75
1398	28.05	25.4	14.31	15.96	9.62	4.82	1.84
1399	27.07	25.47	14.91	15.49	10.2	4.96	1.9
1400	27.32	25.54	15.46	14.77	10.42	4.58	1.9
1401	27.34	25.55	15.67	14.14	11.01	4.52	1.78

Categories

	1363-1401
1	Employed
2	Unemployed
3	Income_without_Work
4	Student
5	Housekeeper
6	Other

Replacements

Year	Value	Replace_Value	Frequency
1364	ٌق	nan	1
1369	0	nan	1
1369	9	nan	2
1370	7	nan	1
1371	9	nan	1

Marrital_State

Column Metadata

1363:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1364:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1365:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1369:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace:
    0: null
    5: null
    7: null
    8: null
    9: null
1370:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1371:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1372:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1373:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1374:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1375:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1376:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1377:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1378:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1379:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1380:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1381:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1382:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1383:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1384:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1385:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1386:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1387:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1388:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1389:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1390:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1391:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1392:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1393:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1394:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1395:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1396:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1397:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1398:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1399:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1400:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null
1401:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null

Column Codes

Years	Marrital_State
1363	COL07
1364-1365	COL06
1366-1368
1369-1383	COL10
1384-1401	DYCOL10

Summary Statistics

category data

Year	Married	Bachelor	nan	Widowed	Divorced
1363	58.84	0.43		37.18	3.55
1364	37.54	58.87		3.17	0.42
1365	37.71	58.55		3.38	0.36
1369	35.66	29.43	31.35	3.3	0.26
1370	35.71	30.2	30.55	3.29	0.25
1371	36.86	29.62	30.36	2.92	0.24
1372	37.33	31.22	28.08	3.1	0.27
1373	37.58	33.36	25.92	2.86	0.29
1374	36.92	34.6	25.23	2.97	0.28
1375	38.2	34.63	24.03	2.87	0.27
1376	38.93	35.08	22.84	2.88	0.27
1377	39.17	36.38	21.31	2.85	0.29
1378	39.03	37.71	19.91	3.1	0.26
1379	39.74	38.16	18.76	3.05	0.3
1380	40.3	39.01	17.3	3.11	0.28
1381	40.95	39.39	16.04	3.32	0.3
1382	42.23	37.93	16.55	2.97	0.32
1383	42.77	38.07	15.76	3.05	0.35
1384	43.74	37.51	15.22	3.17	0.36
1385	44.55	36.94	14.8	3.31	0.4
1386	45.43	35.69	15.04	3.43	0.41
1387	46.04	34.92	14.96	3.62	0.46
1388	46.63	34.05	14.95	3.83	0.53
1389	47.42	33.5	14.6	3.89	0.6
1390	47.96	33.14	14.18	4.06	0.67
1391	48.63	32.62	13.7	4.28	0.77
1392	50.39	28.72	16.32	3.88	0.69
1393	50.31	28.8	15.91	4.19	0.78
1394	50.2	28.92	15.62	4.4	0.85
1395	50.49	28.71	15.26	4.61	0.93
1396	50.78	28.44	15.18	4.6	1
1397	51.6	26.41	16.6	4.34	1.05
1398	51.31	26.98	15.96	4.6	1.14
1399	50.95	27.68	15.49	4.68	1.2
1400	50.93	28.26	14.77	4.85	1.19
1401	50.99	28.44	14.14	5.23	1.21

Categories

	1363-1401
1	Married
2	Widowed
3	Divorced
4	Bachelor

Replacements

Year	Value	Replace_Value	Frequency
1369	0	nan	10
1369	5	nan	1
1369	7	nan	1
1369	8	nan	1
1369	9	nan	10

Weeks_in_Household

Column Metadata

1363:
  column_code: COL06
  type: UInt16
1364:
  column_code: COL08
  type: UInt16
1366:
  column_code: COL06
  type: UInt16

Column Codes

Years	Weeks_in_Household
1363	COL06
1364-1365	COL08
1366-1368	COL06
1369-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	144063	50.16	7.77	0	52	52
1364	145536	50.02	8.1	0	52	52
1365	30546	50.11	7.92	0	52	52
1366	31331	50.4	7.28	0	52	52
1367	45728	50.38	7.36	0	52	52
1368	63783	50.51	7.09	0	52	52

Nationality

Column Metadata

1363:
  column_code: COL08
  type: UInt8
1364:
  column_code: COL07
  type: UInt8

Column Codes

Years	Nationality
1363	COL08
1364-1365	COL07
1366-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	144063	1.01	0.11	1	1	4
1364	145536	1.01	0.14	1	1	4
1365	30546	1.01	0.12	1	1	4

Literacy_Status

Column Metadata

1363:
  column_code: COL09
  type: UInt8
1366:
  column_code: COL07
  type: UInt8

Column Codes

Years	Literacy_Status
1363-1365	COL09
1366-1368	COL07
1369-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	115434	2.56	1.29	1	2	4
1364	114597	2.57	1.29	1	2	4
1365	24129	2.14	0.83	1	2	3
1366	24662	2.1	0.84	1	2	3
1367	36204	2.08	0.84	1	2	3
1368	51460	2.07	0.84	1	2	3

Job_Code

Column Metadata

1363:
  column_code: COL12
  type: string
1366:
  column_code: COL10
  type: string

Column Codes

Years	Job_Code
1363-1365	COL12
1366-1368	COL10
1369-1401

Summary Statistics

string data

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1365	70.808	8.28586	2.30799	0.013095	0.00327375	1.33242	1.23748	0.615465	0.720225	0.667845	0.255353	0.294638	0.47142	0.193151	0.206246	0.0851175	0.02619	0.320828	0.274995	0.144045	0.307733	0.265174	0.271721	0.114581	2.59281	0.150593	0.0949388	0.232436	0.0883913			0.039285	0.02619	0.137498	0.147319	0.0851175	0.117855	0.0163688	0.108034	0.091665		0.0687488		0.0163688			0.091665	0.091665	0.0622013	0.0294638	0.176783	0.0851175	0.0425588	0.013095	0.00982125	0.07857	0.124403	0.0458325	0.0622013	0.091665	0.114581		0.0294638	0.0556538			0.101486	0.0458325	0.013095	0.0163688	0.039285	0.0229163	0.0425588			0.0622013	0.0491063	0.0294638		0.0556538	0.0229163	0.0458325	0.0065475	0.0196425	0.0294638	0.0229163	0.0229163	0.0556538	0.0360113	0.0360113	0.039285	0.00327375	0.00327375	0.02619	0.0556538	0.065475	0.013095	0.00327375	0.111308	0.02619			0.00982125	0.0065475		0.0163688	0.140771	0.0491063	0.0229163	0.00982125		0.013095	0.0491063	0.0163688			0.0327375	0.0196425	0.00327375	0.02619	0.0327375	0.00327375	1.72199	0.0229163	0.0065475	0.0327375		0.013095	0.00982125	0.006547502127938192	0.0196425	0.0229163	0.00327375	0.0196425	0.0163688	0.039285	0.0163688	0.013095	0.0425588	0.0229163	0.00327375	0.0196425	0.0065475	0.0065475	0.0458325	0.0196425			0.10476	0.00982125	0.00982125		0.0065475	0.00327375		0.00982125		0.0196425			0.00327375	0.00982125		0.04255876383159824					0.00982125	0.0065475	0.0163688	0.0163688	0.013095					0.00327375	0.01636875531984548			0.02619000851175277	0.0065475	0.003273751063969096	0.013095	0.003273751063969096				0.003273751063969096		0.02619	0.0360113	0.0163688		0.003273751063969096		0.0065475				0.003273751063969096	0.0065475	0.00327375	0.009821253191907287			0.009821253191907287	0.00327375		0.00982125				0.003273751063969096	0.003273751063969096		0.0163688	0.006547502127938192	0.003273751063969096	0.006547502127938192		0.013095	0.003273751063969096	0.00982125	0.0065475			0.00327375		0.003273751063969096	0.003273751063969096		0.17023505532639296	0.07529627447128921	0.14077129575067113	0.12112878936685655	0.07529627447128921	0.0720225234073201	0.08511752766319648	0.05892751915144372	0.05892751915144372	0.01636875531984548	0.11785503830288745	0.006547502127938192	0.02291625744778367	0.02619000851175277	0.05565376808747463	0.003273751063969096	0.01636875531984548	0.003273751063969096	0.003273751063969096	0.01636875531984548	0.009821253191907287	0.02619000851175277	0.009821253191907287		0.003273751063969096	0.006547502127938192	0.006547502127938192	0.003273751063969096	0.003273751063969096				0.003273751063969096	0.006547502127938192				0.003273751063969096		0.006547502127938192		0.003273751063969096			0.003273751063969096		0.003273751063969096				0.006547502127938192		0.003273751063969096	0.003273751063969096				0.003273751063969096				0.003273751063969096	0.003273751063969096						0.003273751063969096	0.003273751063969096	0.003273751063969096	0.003273751063969096
1366	72.5607	7.68568	2.13207	1.86397	1.61182	1.42032	1.26392	0.625579	0.555361	0.529827	0.27768	0.398966	0.418116	0.465992	0.18512	0.37024	0.16597	0.300022	0.27768	0.232996	0.204271	0.23938	0.312789	0.143628	0.0159586	0.197887	0.153203	0.197887	0.0893684	0.13405253582713605	0.10213526539210366	0.130861	0.105327	0.137244	0.140436	0.0829849	0.0957518	0.0574511	0.0893684	0.134053	0.07340972200057451	0.0797932	0.06064281382656155	0.0797932	0.05425935973955508	0.04149245156554211	0.0829849	0.0925601	0.0446842	0.0414925	0.0542594	0.0542594	0.0446842	0.130861	0.0606428	0.0542594	0.0574511	0.0861766	0.0478759	0.0383007	0.035109	0.028725543391529156	0.0446842	0.0734097	0.03510899747853563	0.028725543391529156	0.0829849	0.0478759	0.0797932	0.0287255	0.0606428	0.035109	0.0223421	0.07660144904407774	0.025533816348025914	0.0734097	0.0127669	0.0127669	0.022342089304522677	0.0223421	0.0287255	0.0383007	0.0446842	0.0223421	0.0542594	0.0319173	0.0223421	0.0446842	0.0574511	0.0319173	0.0319173	0.0223421	0.00638345	0.0191504	0.0287255	0.0414925	0.0191504	0.00638345	0.0223421	0.0414925	0.012766908174012957	0.0031917270435032393	0.0191504	0.00638345	0.019150362261019436	0.0159586	0.0159586	0.0159586	0.00957518	0.00638345	0.0319172704350324	0.00319173	0.00638345	0.0159586	0.025533816348025914	0.009575181130509718	0.00638345	0.0223421	0.0191504	0.00957518	0.00957518	0.00319173	0.0127669	0.0319173	0.00638345	0.0255338	0.0159586352175162	0.0191504	0.00957518	0.009575181130509718	0.0255338	0.00319173	0.0191504	0.0191504	0.0255338	0.0223421	0.00638345	0.00319173	0.0127669	0.0191504	0.00638345	0.00957518	0.00319173	0.0287255	0.0542594	0.00957518	0.0031917270435032393		0.00319173	0.00638345	0.0127669	0.006383454087006479	0.00319173	0.0223421	0.006383454087006479	0.00638345	0.0031917270435032393	0.0127669	0.0031917270435032393	0.006383454087006479	0.00319173	0.00957518	0.006383454087006479					0.0031917270435032393	0.00319173	0.00638345	0.00319173	0.0159586	0.00319173		0.009575181130509718	0.006383454087006479		0.00638345	0.019150362261019436		0.0031917270435032393	0.0031917270435032393	0.0127669		0.00319173			0.0031917270435032393	0.0159586352175162			0.00319173	0.00319173	0.0191504	0.0031917270435032393		0.0031917270435032393	0.0159586	0.0031917270435032393	0.006383454087006479	0.006383454087006479		0.0127669	0.00957518	0.006383454087006479	0.0031917270435032393	0.006383454087006479	0.009575181130509718	0.00957518		0.00638345						0.006383454087006479	0.00638345				0.0031917270435032393	0.00638345		0.00319173	0.00957518	0.009575181130509718		0.00957518	0.0031917270435032393		0.012766908174012957																											0.0031917270435032393					0.0031917270435032393									0.0031917270435032393					0.0031917270435032393	0.006383454087006479					0.006383454087006479								0.0031917270435032393														0.0031917270435032393
1367	73.1412	7.06351	2.54111	1.81071	1.53079	1.41707	1.14153	0.660427	0.507348	0.53359	0.323653	0.347708	0.358642	0.422061	0.2493	0.338961	0.142145	0.303971	0.218684	0.301784	0.212124	0.231805	0.205563	0.126837	0.0218684	0.170574	0.183695	0.146519	0.0962211	0.09840797760671799	0.08966060181945416	0.139958	0.131211	0.135584	0.107155	0.113716	0.100595	0.0852869	0.120276	0.137771	0.06123163051084675	0.100595	0.08966060181945416	0.0962211	0.059044786564030796	0.059044786564030796	0.0940343	0.0590448	0.0437369	0.0787264	0.0721659	0.0502974	0.0481106	0.0896606	0.0328027	0.0502974	0.0371763	0.0831001	0.0634185	0.0524843	0.0371763	0.03717634709587124	0.0502974	0.0393632	0.041550034989503146	0.03717634709587124	0.069979	0.0349895	0.0568579	0.0153079	0.069979	0.0459237	0.0196816	0.03936319104268719	0.030615815255423375	0.069979	0.0306158	0.0196816	0.019681595521343596	0.0328027	0.028429	0.028429	0.00656053	0.0153079	0.0174948	0.0240553	0.0262421	0.0306158	0.0568579	0.0328027	0.028429	0.0262421	0.0153079	0.0481106	0.0174948	0.098408	0.0240553	0.0196816	0.0328027	0.0590448	0.03280265920223933	0.0065605318404478655	0.0218684	0.00874738	0.010934219734079776	0.0131211	0.0262421	0.0131211	0.0174948	0.0153079	0.030615815255423375	0.00437369	0.0218684	0.0174948	0.00874737578726382	0.01749475157452764	0.00656053	0.0196816	0.00656053	0.0109342	0.0174948	0.0153079	0.0721659	0.0196816	0.0109342	0.0262421	0.00874737578726382	0.0153079	0.0218684		0.028429	0.00874738	0.0109342	0.0153079	0.00437369	0.0218684	0.00437369	0.00874738	0.00437369	0.0218684	0.00656053	0.00218684	0.00656053	0.00874738	0.0481106	0.0153079	0.002186843946815955	0.002186843946815955	0.0153079	0.00656053	0.0109342	0.00437368789363191	0.0109342	0.00218684	0.00437368789363191	0.0153079	0.00874737578726382	0.00656053		0.00437368789363191	0.00874738	0.00874738	0.00874737578726382	0.0065605318404478655	0.010934219734079776	0.00874737578726382	0.00437368789363191	0.0065605318404478655	0.00437369	0.00656053	0.0109342	0.0131211	0.00874738	0.00437368789363191	0.00874737578726382	0.002186843946815955	0.0065605318404478655	0.00218684			0.002186843946815955		0.0174948	0.002186843946815955	0.00437369	0.00437368789363191	0.002186843946815955	0.00437368789363191	0.00437368789363191	0.002186843946815955		0.0131211	0.0218684	0.0109342			0.00437368789363191	0.0109342	0.00874737578726382	0.002186843946815955	0.002186843946815955	0.00874737578726382	0.00437369	0.00874738			0.00437368789363191	0.002186843946815955	0.00874738	0.002186843946815955	0.00437369							0.00218684	0.00874737578726382		0.013121063680895731	0.00437368789363191	0.00218684	0.002186843946815955	0.00218684	0.00656053	0.0065605318404478655		0.0131211																														0.0065605318404478655					0.002186843946815955		0.002186843946815955							0.002186843946815955			0.00437368789363191	0.0065605318404478655	0.00437368789363191			0.002186843946815955			0.00437368789363191	0.002186843946815955		0.002186843946815955				0.002186843946815955	0.002186843946815955							0.002186843946815955							0.00437368789363191	0.002186843946815955
1368	71.7589	7.65094	3.35042	2.16045	1.57252	1.46904	1.07709	0.661618	0.544032	0.525218	0.421742	0.406064	0.387251	0.360598	0.304156	0.297885	0.266529	0.266529	0.264961	0.260257	0.210087	0.20852	0.20068	0.177163	0.166188	0.155214	0.147375	0.12229	0.114451	0.09877240016932412	0.09877240016932412	0.0956368	0.0925011	0.0877977	0.0862299	0.0846621	0.0846621	0.0846621	0.0783908	0.076823	0.0736873461580672	0.0736873	0.07211953028236363	0.0689839	0.06741608265525297	0.06428045090384585	0.0642805	0.0627126	0.0627126	0.0580092	0.0580092	0.0564414	0.0564414	0.0564414	0.0548736	0.0533057	0.0517379	0.0517379	0.0517379	0.0501701	0.0486023	0.04703447627110672	0.0470345	0.0470345	0.0438988445196996	0.0438988445196996	0.0438988	0.042331	0.042331	0.0407632	0.0391954	0.0391954	0.0376276	0.03762758101688538	0.03762758101688538	0.0360598	0.0329241	0.0329241	0.03135631751407115	0.0313563	0.0313563	0.0297885	0.0297885	0.0297885	0.0282207	0.0266529	0.0250851	0.0250851	0.0250851	0.0250851	0.0250851	0.0235172	0.0235172	0.0235172	0.0235172	0.0219494	0.0219494	0.0219494	0.0219494	0.0203816	0.020381606384146246	0.020381606384146246	0.0188138	0.0188138	0.01881379050844269	0.0188138	0.017246	0.017246	0.017246	0.017246	0.017245974632739133	0.0156782	0.0156782	0.0156782	0.015678158757035574	0.015678158757035574	0.0156782	0.0141103	0.0141103	0.0141103	0.0141103	0.0141103	0.0141103	0.0141103	0.0125425	0.0125425	0.01254252700562846	0.0125425	0.0125425	0.01254252700562846	0.0109747	0.0109747	0.0109747	0.0109747	0.0109747	0.0109747	0.0109747	0.0109747	0.0094069	0.0094069	0.0094069	0.0094069	0.0094069	0.0094069	0.0094069	0.0094069	0.009406895254221346	0.009406895254221346	0.0094069	0.0094069	0.0094069	0.007839079378517787	0.00783908	0.00783908	0.007839079378517787	0.00783908	0.007839079378517787	0.00783908	0.007839079378517787	0.007839079378517787	0.00627126	0.00627126	0.00627126350281423	0.00627126350281423	0.00627126350281423	0.00627126350281423	0.00627126350281423	0.00627126350281423	0.00627126	0.00627126	0.00627126	0.00627126	0.00627126	0.004703447627110673	0.004703447627110673	0.004703447627110673	0.004703447627110673	0.00470345	0.004703447627110673	0.004703447627110673	0.004703447627110673	0.004703447627110673	0.00470345	0.004703447627110673	0.00470345	0.004703447627110673	0.004703447627110673	0.004703447627110673	0.004703447627110673	0.003135631751407115	0.003135631751407115	0.00313563	0.00313563	0.00313563	0.003135631751407115	0.003135631751407115	0.003135631751407115	0.00313563	0.003135631751407115	0.003135631751407115	0.003135631751407115	0.003135631751407115	0.00313563	0.00313563	0.003135631751407115	0.003135631751407115	0.003135631751407115	0.003135631751407115	0.00313563	0.0015678158757035576	0.00156782	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.00156782	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.00156782	0.0015678158757035576	0.00156782	0.00156782	0.0015678158757035576	0.0015678158757035576	0.00156782	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576	0.0015678158757035576

Work_Place

Column Metadata

1363:
  column_code: COL13
  type: UInt32
1366:
  column_code: COL11
  type: UInt32

Column Codes

Years	Work_Place
1363-1365	COL13
1366-1368	COL11
1369-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	42121	4089.02	3032.63	0	3214	9600
1364	41248	3978.68	2990.03	0	3214	9600
1365	8917	3747.96	2930.17	1110	3214	9599
1366	8597	3909.85	3015.96	110	3214	9599
1367	12282	3969.97	3058.28	110	3214	9600
1368	18013	3748.77	2991.9	110	3214	9599

Work_Type

Column Metadata

1363:
  column_code: COL14
  type: UInt32
1366:
  column_code: COL12
  type: UInt32

Column Codes

Years	Work_Type
1363-1365	COL14
1366-1368	COL12
1369-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	42121	3.28	1.24	1	3	5
1364	41248	3.27	1.23	1	3	5
1365	8917	3.3	1.27	1	3	5
1366	8597	3.25	1.31	1	3	5
1367	12282	3.26	1.26	1	3	5
1368	18013	3.35	1.28	1	3	5

Weeks_in_Employment

Column Metadata

1363:
  column_code: COL15
  type: UInt32
1366:
  column_code: COL13
  type: UInt32

Column Codes

Years	Weeks_in_Employment
1363-1365	COL15
1366-1368	COL13
1369-1401

Summary Statistics

numeric data

Year	Count	Mean	Standard Deviation	Minimum	Median	Maximum
1363	144063	12.71	21.41	0	0	52
1364	145536	12.37	21.17	0	0	52
1365	30546	12.83	21.47	0	0	52
1366	6876	45.74	13.1	0	52	52
1367	10020	45.59	13.15	0	52	52
1368	14009	45.86	13.04	0	52	52