tobacco
Old to New Titles
| Years | ADDRESS | COL1 | COL3 | COL4 | COL5 | COL6 | COL7 |
|---|---|---|---|---|---|---|---|
| 1383 | ID | Code | Provision_Method | drop | Amount | Price | Expenditure |
| Years | ADDRESS | DYCOL01 | DYCOL02 | DYCOL03 | DYCOL04 | DYCOL05 | DYCOL06 | DYCOL07 |
|---|---|---|---|---|---|---|---|---|
| 1384 | ID | Code | Provision_Method | drop | Amount | Price | Expenditure | drop |
| 1385-1401 | ID | Code | Provision_Method | drop | Amount | Price | Expenditure |
New to Old Titles
| Years | ID | Code | Provision_Method | Amount | Price | Expenditure |
|---|---|---|---|---|---|---|
| 1383 | ADDRESS | COL1 | COL3 | COL5 | COL6 | COL7 |
| 1384-1401 | ADDRESS | DYCOL01 | DYCOL02 | DYCOL04 | DYCOL05 | DYCOL06 |
Columns Details
ID
Column Codes
| Years | ID |
|---|---|
| 1383-1401 | ADDRESS |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1383 | 8733 | 5.67004e+07 | 5.07417e+07 | 11001 | 2.4031e+07 | 1.27114e+08 |
| 1384 | 9195 | 5.8328e+07 | 5.08854e+07 | 11001 | 2.50121e+07 | 1.29214e+08 |
| 1385 | 9852 | 5.42459e+07 | 5.05789e+07 | 11001 | 2.30821e+07 | 1.29214e+08 |
| 1386 | 9377 | 5.63187e+07 | 5.01002e+07 | 11003 | 2.50121e+07 | 1.29214e+08 |
| 1387 | 10716 | 1.69128e+09 | 5.03149e+08 | 1e+09 | 2.02077e+09 | 2.29786e+09 |
| 1388 | 9582 | 1.66299e+09 | 5.04746e+08 | 1e+09 | 2.01018e+09 | 2.29024e+09 |
| 1389 | 9414 | 1.67946e+09 | 5.01428e+08 | 1e+09 | 2.02002e+09 | 2.29011e+09 |
| 1390 | 8952 | 1.6841e+09 | 5.01886e+08 | 1e+09 | 2.02e+09 | 2.30013e+09 |
| 1391 | 8804 | 1.70334e+09 | 4.99579e+08 | 1e+09 | 2.03002e+09 | 2.30013e+09 |
| 1392 | 7928 | 1.68625e+10 | 4.99191e+09 | 1.0001e+10 | 2.0116e+10 | 2.30047e+10 |
| 1393 | 7842 | 1.69167e+10 | 4.9926e+09 | 1.0001e+10 | 2.0114e+10 | 2.30047e+10 |
| 1394 | 7729 | 1.70029e+10 | 5.00994e+09 | 1.0001e+10 | 2.02071e+10 | 2.30047e+10 |
| 1395 | 7634 | 1.70507e+10 | 5.00157e+09 | 1.0001e+10 | 2.02191e+10 | 2.30047e+10 |
| 1396 | 8080 | 1.70167e+10 | 4.9994e+09 | 1.0001e+10 | 2.02101e+10 | 2.30047e+10 |
| 1397 | 8220 | 1.67706e+10 | 5.03964e+09 | 1.0001e+10 | 2.01094e+10 | 2.30067e+10 |
| 1398 | 7921 | 1.66681e+10 | 5.02807e+09 | 1.0001e+10 | 2.00124e+10 | 2.30067e+10 |
| 1399 | 6814 | 1.67569e+10 | 5.0256e+09 | 1.0001e+10 | 2.01034e+10 | 2.30067e+10 |
| 1400 | 6828 | 1.66982e+10 | 5.02842e+09 | 1.0001e+10 | 2.00124e+10 | 2.30067e+10 |
| 1401 | 6762 | 1.68044e+10 | 5.02249e+09 | 1.0001e+10 | 2.01039e+10 | 2.30067e+10 |
Code
Column Metadata
1363:
column_code: DYCOL01
type: UInt32
1364:
column_code: DYCOL01
type: UInt32
1365:
column_code: DYCOL01
type: UInt32
1366:
column_code: DYCOL01
type: UInt32
1367:
column_code: DYCOL01
type: UInt32
1368:
column_code: DYCOL01
type: UInt32
1369:
column_code: DYCOL01
type: UInt32
1370:
column_code: DYCOL01
type: UInt32
1371:
column_code: DYCOL01
type: UInt32
1372:
column_code: DYCOL01
type: UInt32
1373:
column_code: DYCOL01
type: UInt32
1374:
column_code: DYCOL01
type: UInt32
1375:
column_code: DYCOL01
type: UInt32
1376:
column_code: DYCOL01
type: UInt32
1377:
column_code: DYCOL01
type: UInt32
1378:
column_code: DYCOL01
type: UInt32
1379:
column_code: DYCOL01
type: UInt32
1380:
column_code: DYCOL01
type: UInt32
1381:
column_code: DYCOL01
type: UInt32
1382:
column_code: DYCOL01
type: UInt32
1383:
column_code: DYCOL01
type: UInt32
1384:
column_code: DYCOL01
type: UInt32
1385:
column_code: DYCOL01
type: UInt32
1386:
column_code: DYCOL01
type: UInt32
1387:
column_code: DYCOL01
type: UInt32
1388:
column_code: DYCOL01
type: UInt32
1389:
column_code: DYCOL01
type: UInt32
1390:
column_code: DYCOL01
type: UInt32
1391:
column_code: DYCOL01
type: UInt32
1392:
column_code: DYCOL01
type: UInt32
1393:
column_code: DYCOL01
type: UInt32
1394:
column_code: DYCOL01
type: UInt32
1395:
column_code: DYCOL01
type: UInt32
1396:
column_code: DYCOL01
type: UInt32
1397:
column_code: DYCOL01
type: UInt32
1398:
column_code: DYCOL01
type: UInt32
1399:
column_code: DYCOL01
type: UInt32
1400:
column_code: DYCOL01
type: UInt32
1401:
column_code: DYCOL01
type: UInt32
Column Codes
| Years | Code |
|---|---|
| 1383 | COL1 |
| 1384-1401 | DYCOL01 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1383 | 8733 | 21680.2 | 3040.69 | 231 | 22113 | 22115 |
| 1384 | 9195 | 22155.3 | 220.24 | 21111 | 22113 | 23111 |
| 1385 | 9852 | 22164.7 | 227.01 | 21111 | 22113 | 23111 |
| 1386 | 9377 | 22170.9 | 235.6 | 21111 | 22113 | 23111 |
| 1387 | 10716 | 22169 | 233.25 | 21111 | 22113 | 23111 |
| 1388 | 9582 | 22165.6 | 225.1 | 21111 | 22113 | 23111 |
| 1389 | 9414 | 22165.2 | 226.37 | 21111 | 22113 | 23111 |
| 1390 | 8952 | 22168.8 | 233.52 | 21111 | 22111 | 23111 |
| 1391 | 8804 | 22180.7 | 255.85 | 21111 | 22111 | 23111 |
| 1392 | 7928 | 22176 | 248.25 | 21111 | 22111 | 23111 |
| 1393 | 7842 | 22184.3 | 259.21 | 21111 | 22113 | 23111 |
| 1394 | 7729 | 22197.2 | 279.23 | 21111 | 22113 | 23111 |
| 1395 | 7634 | 22202.1 | 289.03 | 21111 | 22113 | 23111 |
| 1396 | 8080 | 22216.5 | 310.14 | 21111 | 22113 | 23111 |
| 1397 | 8220 | 22211 | 308.03 | 21111 | 22113 | 23111 |
| 1398 | 7921 | 22211.4 | 303.64 | 21111 | 22113 | 23111 |
| 1399 | 6814 | 22197.7 | 286.66 | 21111 | 22113 | 23111 |
| 1400 | 6828 | 22205.2 | 293.83 | 21111 | 22113 | 23111 |
| 1401 | 6762 | 22210.9 | 302.21 | 21111 | 22113 | 23111 |
Provision_Method
Column Metadata
1363:
column_code: DYCOL02
type: category
categories:
1: Purchase_Subsidised_Price
2: Purchase_Free_Price
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1364:
column_code: DYCOL02
type: category
categories:
1: Purchase_Subsidised_Price
2: Purchase_Free_Price
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1365:
column_code: DYCOL02
type: category
categories:
1: Purchase_Subsidised_Price
2: Purchase_Free_Price
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1366:
column_code: DYCOL02
type: category
categories:
1: Purchase_Subsidised_Price
2: Purchase_Free_Price
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1367:
column_code: DYCOL02
type: category
categories:
1: Purchase_Subsidised_Price
2: Purchase_Free_Price
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1368:
column_code: DYCOL02
type: category
categories:
1: Purchase_Subsidised_Price
2: Purchase_Free_Price
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1369:
column_code: DYCOL02
type: category
categories:
2: Purchase
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1370:
column_code: DYCOL02
type: category
categories:
2: Purchase
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1371:
column_code: DYCOL02
type: category
categories:
2: Purchase
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1372:
column_code: DYCOL02
type: category
categories:
2: Purchase
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1373:
column_code: DYCOL02
type: category
categories:
2: Purchase
3: Home_Production
4: Instead_of_Public_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1374:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
1375:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
1376:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
1377:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
1378:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
1379:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
8: Instead_of_Cooperative_Service
1380:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
8: Instead_of_Cooperative_Service
1381:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
8: Instead_of_Cooperative_Service
1382:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Private_Service
5: Agricultural_Work
6: Non_Agricultural_Work
7: Donation
8: Instead_of_Cooperative_Service
1383:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1384:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1385:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1386:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1387:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1388:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1389:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1390:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1391:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1392:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1393:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1394:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1395:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1396:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1397:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1398:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1399:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1400:
column_code: DYCOL02
type: category
categories:
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
1401:
column_code: DYCOL02
type: category
categories:
0: Secondhand_Sale
1: Purchase
2: Home_Production
3: Instead_of_Public_Service
4: Instead_of_Cooperative_Service
5: Instead_of_Private_Service
6: Agricultural_Work
7: Non_Agricultural_Work
8: Donation
Column Codes
| Years | Provision_Method |
|---|---|
| 1383 | COL3 |
| 1384-1401 | DYCOL02 |
Summary Statistics
category data
| Year | Purchase | Non_Agricultural_Work | Agricultural_Work | Instead_of_Private_Service | nan | Home_Production | Instead_of_Public_Service | Instead_of_Cooperative_Service | Donation |
|---|---|---|---|---|---|---|---|---|---|
| 1383 | 96.51 | 1.26 | 0.14 | 0.03 | 1.97 | 0.07 | 0.02 | ||
| 1384 | 98.85 | 1 | 0.05 | 0.03 | 0.04 | 0.01 | 0.01 | ||
| 1385 | 98.69 | 1.27 | 0.01 | 0.01 | 0.02 | ||||
| 1386 | 98.69 | 1.22 | 0.04 | 0.04 | 0.01 | ||||
| 1387 | 98.96 | 0.94 | 0.02 | 0.03 | 0.02 | 0.03 | |||
| 1388 | 98.82 | 1.07 | 0.02 | 0.03 | 0.01 | 0.02 | 0.02 | ||
| 1389 | 99.04 | 0.8 | 0.06 | 0.03 | 0.05 | 0.01 | |||
| 1390 | 99.17 | 0.74 | 0.04 | 0.02 | 0.02 | ||||
| 1391 | 99.22 | 0.73 | 0.01 | 0.02 | 0.01 | 0.01 | |||
| 1392 | 99.53 | 0.45 | 0.01 | ||||||
| 1393 | 99.23 | 0.69 | 0.01 | 0.03 | 0.04 | ||||
| 1394 | 99.24 | 0.66 | 0.03 | 0.06 | 0.01 | ||||
| 1395 | 99.19 | 0.75 | 0.04 | 0.01 | 0.01 | ||||
| 1396 | 99.33 | 0.64 | 0.01 | 0.01 | |||||
| 1397 | 99.31 | 0.66 | 0.01 | 0.01 | 0.01 | ||||
| 1398 | 99.33 | 0.59 | 0.03 | 0.01 | 0.01 | 0.03 | |||
| 1399 | 99.25 | 0.65 | 0.04 | 0.01 | 0.04 | ||||
| 1400 | 99.34 | 0.51 | 0.04 | 0.01 | 0.09 | ||||
| 1401 | 99.48 | 0.49 | 0.01 | 0.01 |
Categories
| 1383-1400 | 1401 | |
|---|---|---|
| 0 | Secondhand_Sale | |
| 1 | Purchase | Purchase |
| 2 | Home_Production | Home_Production |
| 3 | Instead_of_Public_Service | Instead_of_Public_Service |
| 4 | Instead_of_Cooperative_Service | Instead_of_Cooperative_Service |
| 5 | Instead_of_Private_Service | Instead_of_Private_Service |
| 6 | Agricultural_Work | Agricultural_Work |
| 7 | Non_Agricultural_Work | Non_Agricultural_Work |
| 8 | Donation | Donation |
Amount
Column Metadata
1363:
column_code: DYCOL04
type: float
1364:
column_code: DYCOL04
type: float
1365:
column_code: DYCOL04
type: float
1366:
column_code: DYCOL04
type: float
1367:
column_code: DYCOL04
type: float
1368:
column_code: DYCOL04
type: float
1369:
column_code: DYCOL04
type: float
1370:
column_code: DYCOL04
type: float
1371:
column_code: DYCOL04
type: float
1372:
column_code: DYCOL04
type: float
1373:
column_code: DYCOL04
type: float
1374:
column_code: DYCOL04
type: float
1375:
column_code: DYCOL04
type: float
1376:
column_code: DYCOL04
type: float
1377:
column_code: DYCOL04
type: float
1378:
column_code: DYCOL04
type: float
1379:
column_code: DYCOL04
type: float
1380:
column_code: DYCOL04
type: float
1381:
column_code: DYCOL04
type: float
1382:
column_code: DYCOL04
type: float
1383:
column_code: DYCOL04
type: float
1384:
column_code: DYCOL04
type: float
1385:
column_code: DYCOL04
type: float
1386:
column_code: DYCOL04
type: float
1387:
column_code: DYCOL04
type: float
1388:
column_code: DYCOL04
type: float
1389:
column_code: DYCOL04
type: float
1390:
column_code: DYCOL04
type: float
1391:
column_code: DYCOL04
type: float
1392:
column_code: DYCOL04
type: float
1393:
column_code: DYCOL04
type: float
1394:
column_code: DYCOL04
type: float
1395:
column_code: DYCOL04
type: float
1396:
column_code: DYCOL04
type: float
1397:
column_code: DYCOL04
type: float
1398:
column_code: DYCOL04
type: float
1399:
column_code: DYCOL04
type: float
1400:
column_code: DYCOL04
type: float
1401:
column_code: DYCOL04
type: float
Column Codes
| Years | Amount |
|---|---|
| 1383 | COL5 |
| 1384-1401 | DYCOL04 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1383 | 7297 | 489.24 | 390.19 | 1 | 600 | 12000 |
| 1384 | 7746 | 489.72 | 334.67 | 1 | 600 | 7200 |
| 1385 | 8188 | 500.36 | 393.2 | 1 | 600 | 16801 |
| 1386 | 7881 | 499.15 | 311.53 | 1 | 600 | 3100 |
| 1387 | 9018 | 501.17 | 326.06 | 1 | 600 | 6200 |
| 1388 | 8209 | 513.9 | 333.13 | 3 | 600 | 3500 |
| 1389 | 8033 | 525.28 | 360.75 | 1 | 600 | 12000 |
| 1390 | 7631 | 531.13 | 335.34 | 4 | 600 | 6000 |
| 1391 | 7341 | 529.11 | 346.96 | 4 | 600 | 6000 |
| 1392 | 6796 | 508.6 | 316.95 | 7 | 600 | 3600 |
| 1393 | 6801 | 519.15 | 310.01 | 1 | 600 | 3200 |
| 1394 | 6495 | 519.34 | 319.63 | 2 | 600 | 3600 |
| 1395 | 6347 | 512.4 | 329.93 | 3 | 600 | 7000 |
| 1396 | 6516 | 512.96 | 321.28 | 5 | 600 | 6000 |
| 1397 | 6540 | 488.31 | 322.47 | 1 | 600 | 4000 |
| 1398 | 6381 | 482.83 | 315.78 | 1 | 600 | 4340 |
| 1399 | 5562 | 450.95 | 290.17 | 1 | 500 | 3000 |
| 1400 | 5505 | 453.75 | 284.18 | 1 | 560 | 3500 |
| 1401 | 5462 | 486.43 | 334.37 | 2 | 600 | 6000 |
Price
Column Metadata
1363:
column_code: DYCOL05
type: float
1364:
column_code: DYCOL05
type: float
1365:
column_code: DYCOL05
type: float
1366:
column_code: DYCOL05
type: float
1367:
column_code: DYCOL05
type: float
1368:
column_code: DYCOL05
type: float
1369:
column_code: DYCOL05
type: float
1370:
column_code: DYCOL05
type: float
1371:
column_code: DYCOL05
type: float
1372:
column_code: DYCOL05
type: float
1373:
column_code: DYCOL05
type: float
1374:
column_code: DYCOL05
type: float
1375:
column_code: DYCOL05
type: float
1376:
column_code: DYCOL05
type: float
1377:
column_code: DYCOL05
type: float
1378:
column_code: DYCOL05
type: float
1379:
column_code: DYCOL05
type: float
1380:
column_code: DYCOL05
type: float
1381:
column_code: DYCOL05
type: float
1382:
column_code: DYCOL05
type: float
1383:
column_code: DYCOL05
type: float
1384:
column_code: DYCOL05
type: float
1385:
column_code: DYCOL05
type: float
1386:
column_code: DYCOL05
type: float
1387:
column_code: DYCOL05
type: float
1388:
column_code: DYCOL05
type: float
1389:
column_code: DYCOL05
type: float
1390:
column_code: DYCOL05
type: float
1391:
column_code: DYCOL05
type: float
1392:
column_code: DYCOL05
type: float
1393:
column_code: DYCOL05
type: float
1394:
column_code: DYCOL05
type: float
1395:
column_code: DYCOL05
type: float
1396:
column_code: DYCOL05
type: float
1397:
column_code: DYCOL05
type: float
1398:
column_code: DYCOL05
type: float
1399:
column_code: DYCOL05
type: float
1400:
column_code: DYCOL05
type: float
1401:
column_code: DYCOL05
type: float
Column Codes
| Years | Price |
|---|---|
| 1383 | COL6 |
| 1384-1401 | DYCOL05 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1383 | 7298 | 266.25 | 2721.69 | 25 | 150 | 140000 |
| 1384 | 7750 | 352.3 | 2956.58 | 20 | 165 | 100000 |
| 1385 | 8188 | 299.88 | 2621.52 | 0 | 200 | 100000 |
| 1386 | 7881 | 262.32 | 775.41 | 10 | 225 | 50000 |
| 1387 | 9018 | 293.51 | 228.93 | 25 | 250 | 5000 |
| 1388 | 8209 | 329.6 | 233.34 | 30 | 250 | 4250 |
| 1389 | 8033 | 343.42 | 235.4 | 50 | 250 | 5000 |
| 1390 | 7631 | 405.96 | 339.55 | 40 | 300 | 9500 |
| 1391 | 7342 | 644.49 | 517.6 | 50 | 500 | 12000 |
| 1392 | 6796 | 964.02 | 667.08 | 100 | 750 | 15000 |
| 1393 | 6801 | 970.6 | 1245.05 | 50 | 800 | 80000 |
| 1394 | 6495 | 1008.1 | 758.75 | 150 | 870 | 20000 |
| 1395 | 6347 | 1107.37 | 859.1 | 200 | 1000 | 30000 |
| 1396 | 6516 | 1165.94 | 854.13 | 200 | 1000 | 35000 |
| 1397 | 6540 | 2442.36 | 15753.6 | 100 | 2000 | 900000 |
| 1398 | 6381 | 2834.38 | 6385.6 | 200 | 2500 | 500000 |
| 1399 | 5562 | 3767.9 | 3298.37 | 200 | 3000 | 120000 |
| 1400 | 5505 | 5156.22 | 5316.37 | 250 | 4000 | 100000 |
| 1401 | 6762 | 5710.75 | 8791.54 | 0 | 5000 | 170000 |
Expenditure
Column Metadata
1363:
column_code: DYCOL06
type: float
1364:
column_code: DYCOL06
type: float
1365:
column_code: DYCOL06
type: float
1366:
column_code: DYCOL06
type: float
1367:
column_code: DYCOL06
type: float
1368:
column_code: DYCOL06
type: float
1369:
column_code: DYCOL06
type: float
1370:
column_code: DYCOL06
type: float
1371:
column_code: DYCOL06
type: float
1372:
column_code: DYCOL06
type: float
1373:
column_code: DYCOL06
type: float
1374:
column_code: DYCOL06
type: float
1375:
column_code: DYCOL06
type: float
1376:
column_code: DYCOL06
type: float
1377:
column_code: DYCOL06
type: float
1378:
column_code: DYCOL06
type: float
1379:
column_code: DYCOL06
type: float
1380:
column_code: DYCOL06
type: float
1381:
column_code: DYCOL06
type: float
1382:
column_code: DYCOL06
type: float
1383:
column_code: DYCOL06
type: float
1384:
column_code: DYCOL06
type: float
1385:
column_code: DYCOL06
type: float
1386:
column_code: DYCOL06
type: float
1387:
column_code: DYCOL06
type: float
1388:
column_code: DYCOL06
type: float
1389:
column_code: DYCOL06
type: float
1390:
column_code: DYCOL06
type: float
1391:
column_code: DYCOL06
type: float
1392:
column_code: DYCOL06
type: float
1393:
column_code: DYCOL06
type: float
1394:
column_code: DYCOL06
type: float
1395:
column_code: DYCOL06
type: float
1396:
column_code: DYCOL06
type: float
1397:
column_code: DYCOL06
type: float
1398:
column_code: DYCOL06
type: float
1399:
column_code: DYCOL06
type: float
1400:
column_code: DYCOL06
type: float
1401:
column_code: DYCOL06
type: float
Column Codes
| Years | Expenditure |
|---|---|
| 1383 | COL7 |
| 1384-1401 | DYCOL06 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1383 | 8733 | 74788.1 | 94821 | 600 | 60000 | 4.2e+06 |
| 1384 | 9188 | 85764.6 | 97571.6 | 400 | 62000 | 2e+06 |
| 1385 | 9852 | 98100.3 | 141284 | 0 | 75000 | 9.9e+06 |
| 1386 | 9377 | 116656 | 131570 | 600 | 90000 | 4e+06 |
| 1387 | 10716 | 138664 | 157120 | 500 | 100000 | 3e+06 |
| 1388 | 9582 | 158338 | 182299 | 600 | 120000 | 4.5e+06 |
| 1389 | 9414 | 178470 | 233393 | 1000 | 135000 | 6.2e+06 |
| 1390 | 8952 | 214039 | 270294 | 1200 | 150000 | 6e+06 |
| 1391 | 8804 | 339534 | 419558 | 1920 | 240000 | 1.2e+07 |
| 1392 | 7927 | 487096 | 520898 | 5000 | 390000 | 1.5e+07 |
| 1393 | 7842 | 504727 | 477301 | 7500 | 450000 | 7.5e+06 |
| 1394 | 7729 | 518405 | 507510 | 5000 | 450000 | 9.3e+06 |
| 1395 | 7634 | 570229 | 587379 | 3000 | 450000 | 1.2e+07 |
| 1396 | 8080 | 625937 | 697291 | 7000 | 450000 | 2.02e+07 |
| 1397 | 8220 | 1.007e+06 | 991471 | 9000 | 750000 | 2.1e+07 |
| 1398 | 7921 | 1.25049e+06 | 1.07356e+06 | 2000 | 1.085e+06 | 1.7e+07 |
| 1399 | 6814 | 1.55012e+06 | 1.49873e+06 | 6000 | 1.24e+06 | 3.1e+07 |
| 1400 | 6828 | 2.14038e+06 | 2.03606e+06 | 12000 | 1.8e+06 | 3e+07 |
| 1401 | 6762 | 3.1471e+06 | 3.64006e+06 | 16000 | 2.4e+06 | 1.2e+08 |