food
Old to New Titles
| Years | ADDRESS | COL1 | COL3 | COL4 | COL4_5 | COL5 | COL5_6 | COL6 | COL7 | COL8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1363-1368 | ID | Code | Provision_Method | Kilos | Expenditure | |||||
| 1369 | ID | Code | Provision_Method | Price_System | Kilos | Price | Expenditure | |||
| 1370-1371 | ID | Code | Provision_Method | Price_System | Kilos | Expenditure | ||||
| 1372-1373 | ID | Code | Provision_Method | Price_System | Kilos | Price | Expenditure | |||
| 1374-1382 | ID | Code | Provision_Method | Kilos | Price | Expenditure | ||||
| 1383 | ID | Code | Provision_Method | Grams | Kilos | Price | Expenditure |
| Years | ADDRESS | DYCOL01 | DYCOL02 | DYCOL03 | DYCOL04 | DYCOL05 | DYCOL06 | DYCOL07 |
|---|---|---|---|---|---|---|---|---|
| 1384 | ID | Code | Provision_Method | Grams | Kilos | Price | Expenditure | drop |
| 1385-1401 | ID | Code | Provision_Method | Grams | Kilos | Price | Expenditure |
New to Old Titles
| Years | ID | Code | Provision_Method | Grams | Kilos | Price | Expenditure | Price_System |
|---|---|---|---|---|---|---|---|---|
| 1363-1368 | ADDRESS | COL1 | COL3 | COL4_5 | COL6 | |||
| 1369 | ADDRESS | COL1 | COL3 | COL5_6 | COL7 | COL8 | COL4 | |
| 1370-1371 | ADDRESS | COL1 | COL3 | COL5_6 | COL8 | COL4 | ||
| 1372-1373 | ADDRESS | COL1 | COL3 | COL5_6 | COL7 | COL8 | COL4 | |
| 1374-1382 | ADDRESS | COL1 | COL3 | COL4_5 | COL6 | COL7 | ||
| 1383 | ADDRESS | COL1 | COL3 | COL4 | COL5 | COL6 | COL7 | |
| 1384-1401 | ADDRESS | DYCOL01 | DYCOL02 | DYCOL03 | DYCOL04 | DYCOL05 | DYCOL06 |
Columns Details
ID
Column Codes
| Years | ID |
|---|---|
| 1363-1401 | ADDRESS |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1363 | 295773 | 655589 | 510647 | 1001 | 1.0212e+06 | 1.23452e+06 |
| 1364 | 311002 | 616338 | 510168 | 1001 | 1.003e+06 | 1.23442e+06 |
| 1365 | 51809 | 618757 | 530772 | 1001 | 1.003e+06 | 1.23422e+06 |
| 1366 | 63183 | 594800 | 524784 | 1002 | 233009 | 1.23421e+06 |
| 1367 | 92676 | 596936 | 522183 | 1001 | 233014 | 1.23428e+06 |
| 1368 | 136402 | 591400 | 518808 | 1001 | 233026 | 1.23428e+06 |
| 1369 | 402492 | 650278 | 509928 | 1001 | 1.01307e+06 | 1.23422e+06 |
| 1370 | 407241 | 645464 | 508434 | 1001 | 1.01301e+06 | 1.23422e+06 |
| 1371 | 409859 | 655803 | 507026 | 1001 | 1.01308e+06 | 1.23422e+06 |
| 1372 | 292306 | 687494 | 503539 | 1001 | 1.021e+06 | 1.23422e+06 |
| 1373 | 470756 | 786477 | 495479 | 1001 | 1.06305e+06 | 1.24404e+06 |
| 1374 | 874879 | 7.52742e+06 | 4.9994e+06 | 10001 | 1.06201e+07 | 1.24401e+07 |
| 1375 | 503808 | 687928 | 517467 | 1001 | 1.03305e+06 | 1.24404e+06 |
| 1376 | 523101 | 681347 | 518352 | 1001 | 1.03115e+06 | 1.25406e+06 |
| 1377 | 422342 | 6.61192e+07 | 5.19257e+07 | 11001 | 1.02073e+08 | 1.27074e+08 |
| 1378 | 706456 | 6.57591e+07 | 5.16321e+07 | 11001 | 1.01053e+08 | 1.27074e+08 |
| 1379 | 720008 | 6.49278e+07 | 5.15297e+07 | 11001 | 1.01041e+08 | 1.27074e+08 |
| 1380 | 765426 | 6.43029e+07 | 5.15303e+07 | 11001 | 1.00053e+08 | 1.27074e+08 |
| 1381 | 1.03796e+06 | 6.58284e+07 | 5.13225e+07 | 11001 | 1.01051e+08 | 1.27074e+08 |
| 1382 | 793904 | 6.56269e+07 | 5.13564e+07 | 11001 | 1.01023e+08 | 1.27114e+08 |
| 1383 | 907142 | 6.54822e+07 | 5.13077e+07 | 11001 | 1.00073e+08 | 1.27114e+08 |
| 1384 | 970821 | 6.62478e+07 | 5.12074e+07 | 11001 | 1.01043e+08 | 1.29214e+08 |
| 1385 | 1.03836e+06 | 6.37213e+07 | 5.16294e+07 | 11001 | 2.91211e+07 | 1.29214e+08 |
| 1386 | 1.07582e+06 | 6.63875e+07 | 5.08253e+07 | 11001 | 1.01034e+08 | 1.29214e+08 |
| 1387 | 1.27233e+06 | 1.61649e+09 | 5.0367e+08 | 1e+09 | 1.28736e+09 | 2.29786e+09 |
| 1388 | 1.17969e+06 | 1.60265e+09 | 5.03748e+08 | 1e+09 | 1.27015e+09 | 2.29025e+09 |
| 1389 | 1.21819e+06 | 1.61937e+09 | 5.03397e+08 | 1e+09 | 1.28007e+09 | 2.29013e+09 |
| 1390 | 1.24789e+06 | 1.63043e+09 | 5.04709e+08 | 1e+09 | 1.29008e+09 | 2.30013e+09 |
| 1391 | 1.22517e+06 | 1.63268e+09 | 5.0416e+08 | 1e+09 | 1.2901e+09 | 2.30013e+09 |
| 1392 | 1.18932e+06 | 1.62697e+10 | 5.03444e+09 | 1.0001e+10 | 1.29056e+10 | 2.30047e+10 |
| 1393 | 1.20728e+06 | 1.62719e+10 | 5.03361e+09 | 1.0001e+10 | 1.29056e+10 | 2.30047e+10 |
| 1394 | 1.21571e+06 | 1.62899e+10 | 5.03489e+09 | 1.0001e+10 | 1.29076e+10 | 2.30047e+10 |
| 1395 | 1.23181e+06 | 1.62797e+10 | 5.02959e+09 | 1.0001e+10 | 1.29056e+10 | 2.30047e+10 |
| 1396 | 1.25768e+06 | 1.6276e+10 | 5.03246e+09 | 1.0001e+10 | 1.29046e+10 | 2.30047e+10 |
| 1397 | 1.22093e+06 | 1.60087e+10 | 5.02974e+09 | 1.0001e+10 | 1.27113e+10 | 2.30067e+10 |
| 1398 | 1.14916e+06 | 1.60189e+10 | 5.03294e+09 | 1.0001e+10 | 1.27133e+10 | 2.30067e+10 |
| 1399 | 1.10205e+06 | 1.60515e+10 | 5.02293e+09 | 1.0001e+10 | 1.28013e+10 | 2.30067e+10 |
| 1400 | 1.12713e+06 | 1.60245e+10 | 5.01687e+09 | 1.0001e+10 | 1.27143e+10 | 2.30067e+10 |
| 1401 | 1.08138e+06 | 1.60503e+10 | 5.02503e+09 | 1.0001e+10 | 1.28013e+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 |
|---|---|
| 1363-1383 | COL1 |
| 1384-1401 | DYCOL01 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1363 | 295773 | 15153.6 | 2506.21 | 11110 | 15540 | 19778 |
| 1364 | 311002 | 15213.4 | 2514.74 | 11110 | 15540 | 19993 |
| 1365 | 51809 | 14950.5 | 2469.76 | 11110 | 15449 | 19756 |
| 1366 | 63183 | 15185.5 | 2683.91 | 11110 | 15540 | 91197 |
| 1367 | 92676 | 15196.8 | 2472.59 | 11110 | 15540 | 19778 |
| 1368 | 136402 | 15204 | 2456.87 | 11110 | 15540 | 19778 |
| 1369 | 402492 | 14979.2 | 2233.25 | 11110 | 15438 | 19778 |
| 1370 | 407241 | 14999.4 | 2322.04 | 11110 | 15416 | 19552 |
| 1371 | 409859 | 15019.9 | 2304.5 | 11110 | 15427 | 19552 |
| 1372 | 292306 | 14998.9 | 2263.65 | 11110 | 15416 | 19552 |
| 1373 | 470756 | 14992.4 | 2311.92 | 11110 | 15427 | 19552 |
| 1374 | 874879 | 15023.2 | 2316.13 | 11110 | 15438 | 19563 |
| 1375 | 503808 | 15074.4 | 2347.97 | 11110 | 15427 | 19563 |
| 1376 | 523101 | 15095.3 | 2369.31 | 11110 | 15427 | 19563 |
| 1377 | 422342 | 15128.4 | 2355.82 | 11110 | 15518 | 19563 |
| 1378 | 706456 | 15120.1 | 2390.34 | 11110 | 15518 | 19563 |
| 1379 | 720008 | 15155.9 | 2381.55 | 11110 | 15518 | 19563 |
| 1380 | 765426 | 15172.3 | 2387.01 | 11110 | 15518 | 19563 |
| 1381 | 1.03796e+06 | 15186.4 | 2354.02 | 11110 | 15518 | 19563 |
| 1382 | 793904 | 15200.1 | 2366.23 | 11110 | 15518 | 19563 |
| 1383 | 907142 | 11614.2 | 280.81 | 11111 | 11711 | 12218 |
| 1384 | 970821 | 11612 | 281.73 | 11111 | 11665 | 12218 |
| 1385 | 1.03836e+06 | 11608.2 | 281.98 | 11111 | 11665 | 12218 |
| 1386 | 1.07582e+06 | 11604.4 | 283.51 | 11111 | 11662 | 12218 |
| 1387 | 1.27233e+06 | 11606.1 | 283.19 | 11111 | 11663 | 12218 |
| 1388 | 1.17969e+06 | 11606.4 | 283.71 | 11111 | 11665 | 12218 |
| 1389 | 1.21819e+06 | 11606.3 | 283.93 | 11111 | 11662 | 12218 |
| 1390 | 1.24789e+06 | 11609.8 | 285.34 | 11111 | 11665 | 12218 |
| 1391 | 1.22517e+06 | 11611.1 | 286.3 | 11111 | 11665 | 12218 |
| 1392 | 1.18932e+06 | 11610 | 285.74 | 11111 | 11665 | 12218 |
| 1393 | 1.20728e+06 | 11611.1 | 284.43 | 11111 | 11665 | 12218 |
| 1394 | 1.21571e+06 | 11611.2 | 282.97 | 11111 | 11665 | 12218 |
| 1395 | 1.23181e+06 | 11611.2 | 280.64 | 11111 | 11665 | 12218 |
| 1396 | 1.25768e+06 | 11613.5 | 280.69 | 11111 | 11665 | 12218 |
| 1397 | 1.22093e+06 | 11610.3 | 280.53 | 11111 | 11665 | 12218 |
| 1398 | 1.14916e+06 | 11605.2 | 280.19 | 11111 | 11661 | 12218 |
| 1399 | 1.10205e+06 | 11604.9 | 281.96 | 11111 | 11664 | 12218 |
| 1400 | 1.12713e+06 | 11604.4 | 281.57 | 11111 | 11661 | 12218 |
| 1401 | 1.08138e+06 | 11606.6 | 281.31 | 11111 | 11663 | 12218 |
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 |
|---|---|
| 1363-1383 | COL3 |
| 1384-1401 | DYCOL02 |
Summary Statistics
category data
| Year | Purchase | Home_Production | Non_Agricultural_Work | Agricultural_Work | Donation | Instead_of_Private_Service | Instead_of_Public_Service | Instead_of_Cooperative_Service | Purchase_Free_Price | Purchase_Subsidised_Price | nan |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1363 | 1.67 | 0.86 | 5.46 | 1.23 | 0.14 | 0.13 | 49.29 | 41.23 | |||
| 1364 | 1.57 | 0.88 | 5.61 | 1.37 | 0.12 | 0.14 | 55.55 | 34.76 | |||
| 1365 | 1.79 | 0.93 | 6.8 | 1.38 | 0.16 | 0.24 | 51.35 | 37.35 | 0.0 | ||
| 1366 | 1.74 | 0.82 | 6.01 | 1.08 | 0.12 | 0.21 | 56.12 | 33.88 | 0.03 | ||
| 1367 | 1.69 | 0.85 | 5.66 | 1 | 0.17 | 0.23 | 59.37 | 31.02 | |||
| 1368 | 1.88 | 0.84 | 6.43 | 0.95 | 0.11 | 0.17 | 61.48 | 28.15 | |||
| 1369 | 93.51 | 2.48 | 1.06 | 2.56 | 0.18 | 0.06 | 0.16 | 0.0 | |||
| 1370 | 93.74 | 2.36 | 1.21 | 2.25 | 0.13 | 0.06 | 0.18 | 0.07 | |||
| 1371 | 93.84 | 2.36 | 1.16 | 2.24 | 0.13 | 0.07 | 0.12 | 0.08 | |||
| 1372 | 94.3 | 2.28 | 1.07 | 1.96 | 0.07 | 0.1 | 0.15 | 0.07 | |||
| 1373 | 95.38 | 1.7 | 1.4 | 1.11 | 0.09 | 0.08 | 0.18 | 0.07 | |||
| 1374 | 95.21 | 1.91 | 1.18 | 1.24 | 0.12 | 0.1 | 0.23 | 0.01 | |||
| 1375 | 95.29 | 1.75 | 1.23 | 1.12 | 0.13 | 0.16 | 0.32 | ||||
| 1376 | 95.32 | 1.68 | 1.32 | 1.04 | 0.14 | 0.17 | 0.34 | ||||
| 1377 | 95.23 | 1.7 | 1.34 | 1.06 | 0.14 | 0.17 | 0.37 | ||||
| 1378 | 95.05 | 1.7 | 1.38 | 1.16 | 0.13 | 0.18 | 0.4 | ||||
| 1379 | 95.2 | 1.67 | 1.36 | 1.12 | 0.15 | 0.18 | 0.33 | 0.0 | |||
| 1380 | 95.06 | 1.84 | 1.41 | 1.01 | 0.2 | 0.2 | 0.26 | 0.02 | |||
| 1381 | 95.11 | 1.85 | 1.43 | 0.88 | 0.35 | 0.16 | 0.2 | 0.01 | |||
| 1382 | 95.32 | 1.61 | 1.38 | 0.81 | 0.42 | 0.21 | 0.24 | 0.0 | |||
| 1383 | 95.14 | 1.8 | 1.41 | 0.89 | 0.53 | 0.11 | 0.11 | 0.01 | |||
| 1384 | 94.88 | 2.03 | 1.42 | 0.88 | 0.56 | 0.11 | 0.12 | 0.01 | |||
| 1385 | 95.24 | 1.67 | 1.63 | 0.71 | 0.57 | 0.08 | 0.09 | 0.01 | |||
| 1386 | 95.31 | 1.54 | 1.56 | 0.61 | 0.78 | 0.07 | 0.12 | 0.0 | |||
| 1387 | 95.9 | 1.58 | 1.25 | 0.55 | 0.55 | 0.06 | 0.1 | 0.01 | |||
| 1388 | 95.85 | 1.61 | 1.23 | 0.49 | 0.72 | 0.07 | 0.04 | 0.0 | |||
| 1389 | 96.39 | 1.5 | 1.2 | 0.4 | 0.43 | 0.07 | 0.02 | 0.0 | |||
| 1390 | 97.08 | 1.32 | 1.09 | 0.35 | 0.07 | 0.06 | 0.02 | 0.0 | |||
| 1391 | 96.99 | 1.4 | 1.07 | 0.4 | 0.07 | 0.06 | 0.02 | 0.0 | |||
| 1392 | 96.52 | 1.41 | 0.88 | 0.36 | 0.76 | 0.06 | 0.01 | 0.0 | |||
| 1393 | 97.13 | 1.34 | 0.91 | 0.33 | 0.21 | 0.07 | 0.01 | 0.0 | 0.0 | ||
| 1394 | 97.24 | 1.18 | 0.97 | 0.34 | 0.16 | 0.09 | 0.02 | 0.0 | |||
| 1395 | 97.33 | 1.08 | 1.03 | 0.31 | 0.15 | 0.08 | 0.01 | 0.0 | |||
| 1396 | 97.26 | 1.12 | 1.04 | 0.31 | 0.16 | 0.09 | 0.01 | 0.0 | |||
| 1397 | 97.31 | 1.06 | 0.9 | 0.28 | 0.33 | 0.1 | 0.01 | 0.0 | |||
| 1398 | 97.32 | 1.14 | 0.94 | 0.3 | 0.2 | 0.09 | 0.01 | 0.0 | |||
| 1399 | 97.52 | 1.04 | 0.74 | 0.26 | 0.33 | 0.11 | 0 | 0.0 | |||
| 1400 | 97.7 | 0.95 | 0.74 | 0.24 | 0.26 | 0.1 | 0.01 | 0.0 | |||
| 1401 | 97.78 | 0.93 | 0.75 | 0.23 | 0.2 | 0.1 | 0 | 0.0 |
Categories
| 1363-1368 | 1369-1373 | 1374-1378 | 1379-1382 | 1383-1400 | 1401 | |
|---|---|---|---|---|---|---|
| 0 | Secondhand_Sale | |||||
| 1 | Purchase_Subsidised_Price | Purchase | Purchase | Purchase | Purchase | |
| 2 | Purchase_Free_Price | Purchase | Home_Production | Home_Production | Home_Production | Home_Production |
| 3 | Home_Production | Home_Production | Instead_of_Public_Service | Instead_of_Public_Service | Instead_of_Public_Service | Instead_of_Public_Service |
| 4 | Instead_of_Public_Service | Instead_of_Public_Service | Instead_of_Private_Service | Instead_of_Private_Service | Instead_of_Cooperative_Service | Instead_of_Cooperative_Service |
| 5 | Instead_of_Private_Service | Instead_of_Private_Service | Agricultural_Work | Agricultural_Work | Instead_of_Private_Service | Instead_of_Private_Service |
| 6 | Agricultural_Work | Agricultural_Work | Non_Agricultural_Work | Non_Agricultural_Work | Agricultural_Work | Agricultural_Work |
| 7 | Non_Agricultural_Work | Non_Agricultural_Work | Donation | Donation | Non_Agricultural_Work | Non_Agricultural_Work |
| 8 | Donation | Donation | Instead_of_Cooperative_Service | Donation | Donation |
Grams
Column Metadata
1363:
column_code: DYCOL03
type: float
1383:
column_code: DYCOL03
type: float
1384:
column_code: DYCOL03
type: float
1385:
column_code: DYCOL03
type: float
1386:
column_code: DYCOL03
type: float
1387:
column_code: DYCOL03
type: float
1388:
column_code: DYCOL03
type: float
1389:
column_code: DYCOL03
type: float
1390:
column_code: DYCOL03
type: float
1391:
column_code: DYCOL03
type: float
1392:
column_code: DYCOL03
type: float
1393:
column_code: DYCOL03
type: float
1394:
column_code: DYCOL03
type: float
1395:
column_code: DYCOL03
type: float
1396:
column_code: DYCOL03
type: float
1397:
column_code: DYCOL03
type: float
1398:
column_code: DYCOL03
type: float
1399:
column_code: DYCOL03
type: float
1400:
column_code: DYCOL03
type: float
1401:
column_code: DYCOL03
type: float
Column Codes
| Years | Grams |
|---|---|
| 1363-1382 | |
| 1383 | COL4 |
| 1384-1401 | DYCOL03 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1383 | 212771 | 462.71 | 184.83 | 1 | 500 | 999 |
| 1384 | 227804 | 462.56 | 188.21 | 0 | 500 | 999 |
| 1385 | 243790 | 467.91 | 185.35 | 0 | 500 | 999 |
| 1386 | 262984 | 473.95 | 186.74 | 0 | 500 | 999 |
| 1387 | 297892 | 475.73 | 186.12 | 0 | 500 | 998 |
| 1388 | 319756 | 401.89 | 243.58 | 0 | 500 | 999 |
| 1389 | 329299 | 377.62 | 255.45 | 0 | 500 | 1000 |
| 1390 | 328988 | 372.89 | 257.91 | 0 | 500 | 999 |
| 1391 | 290551 | 402.16 | 241.81 | 0 | 500 | 999 |
| 1392 | 259084 | 442.95 | 216.94 | 0 | 500 | 999 |
| 1393 | 270544 | 448.7 | 206.11 | 0 | 500 | 999 |
| 1394 | 280745 | 451.25 | 199.87 | 0 | 500 | 999 |
| 1395 | 286653 | 448.82 | 199.34 | 0 | 500 | 999 |
| 1396 | 291840 | 455.41 | 193.77 | 0 | 500 | 999 |
| 1397 | 285437 | 468.92 | 185 | 0 | 500 | 999 |
| 1398 | 276574 | 465.7 | 188.13 | 0 | 500 | 998 |
| 1399 | 272005 | 459.84 | 191 | 0 | 500 | 996 |
| 1400 | 293963 | 440.77 | 206.38 | 0 | 500 | 999 |
| 1401 | 295824 | 427.5 | 220.46 | 0 | 500 | 999 |
Kilos
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 | Kilos |
|---|---|
| 1363-1368 | COL4_5 |
| 1369-1373 | COL5_6 |
| 1374-1382 | COL4_5 |
| 1383 | COL5 |
| 1384-1401 | DYCOL04 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1363 | 278196 | 3.4 | 14.95 | 0 | 1 | 999 |
| 1364 | 297774 | 3.22 | 11.89 | 0 | 1 | 999 |
| 1365 | 50429 | 3.42 | 11.14 | 0 | 1 | 900 |
| 1366 | 60884 | 3 | 9.89 | 0 | 1 | 900 |
| 1367 | 89136 | 2.92 | 9.9 | 0 | 1 | 900 |
| 1368 | 131725 | 2.71 | 9.26 | 0 | 1 | 999 |
| 1369 | 393588 | 17.17 | 67.27 | 0 | 4 | 1000 |
| 1370 | 391019 | 29.22 | 1852.95 | 0 | 4 | 600600 |
| 1371 | 409859 | 16.71 | 103.09 | 0 | 3.6 | 30000 |
| 1372 | 281175 | 15.88 | 74.38 | 0 | 3.6 | 6000 |
| 1373 | 438857 | 15.63 | 70.15 | 0 | 4 | 6000 |
| 1374 | 816874 | 15.57 | 78.63 | 0 | 4 | 22000 |
| 1375 | 440220 | 16.41 | 77.62 | 0.02 | 4 | 12000 |
| 1376 | 453457 | 16.45 | 75.94 | 0.02 | 4 | 11000 |
| 1377 | 366306 | 16.24 | 78.82 | 0.05 | 4 | 12000 |
| 1378 | 604040 | 16.04 | 71.59 | 0 | 4 | 9000 |
| 1379 | 612735 | 14.95 | 67.63 | 0.03 | 4 | 6000 |
| 1380 | 646896 | 14.44 | 66.88 | 0.02 | 3.6 | 8000 |
| 1381 | 876685 | 12.77 | 60.81 | 0 | 3 | 6000 |
| 1382 | 662289 | 12.2 | 60.01 | 0.05 | 3 | 8000 |
| 1383 | 705711 | 8.21 | 28.78 | 1 | 3 | 5169 |
| 1384 | 756252 | 8 | 21.84 | 0 | 3 | 9000 |
| 1385 | 808897 | 7.6 | 19.12 | 0 | 3 | 7000 |
| 1386 | 828606 | 7.38 | 17.14 | 0 | 3 | 2000 |
| 1387 | 984080 | 7.04 | 15.68 | 0 | 3 | 1650 |
| 1388 | 922597 | 6.96 | 15.21 | 0 | 3 | 1200 |
| 1389 | 963316 | 6.84 | 16.64 | 0 | 3 | 7500 |
| 1390 | 995036 | 6.4 | 12.52 | 0 | 3 | 1000 |
| 1391 | 971779 | 6.28 | 12.76 | 0 | 3 | 2500 |
| 1392 | 934106 | 5.96 | 11.67 | 0 | 3 | 1500 |
| 1393 | 937731 | 5.79 | 35.3 | 0 | 3 | 32000 |
| 1394 | 934617 | 5.48 | 10.59 | 0 | 3 | 1820 |
| 1395 | 945238 | 5.32 | 18.51 | 0 | 3 | 15000 |
| 1396 | 961587 | 5.26 | 9.99 | 0 | 3 | 1200 |
| 1397 | 928302 | 5.15 | 9.59 | 0 | 3 | 800 |
| 1398 | 873469 | 5.23 | 10 | 0 | 3 | 555 |
| 1399 | 832695 | 5.08 | 9.33 | 0 | 2 | 1000 |
| 1400 | 853008 | 4.87 | 8.84 | 0 | 2 | 500 |
| 1401 | 817479 | 4.8 | 9.1 | 0 | 2 | 500 |
Price
Column Metadata
1363:
column_code: DYCOL05
type: float
1369:
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 |
|---|---|
| 1363-1368 | |
| 1369 | COL7 |
| 1370-1371 | |
| 1372-1373 | COL7 |
| 1374-1383 | COL6 |
| 1384-1401 | DYCOL05 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1369 | 392966 | 626.39 | 1078.68 | 1 | 200 | 99999 |
| 1372 | 281149 | 1601.58 | 54110.5 | 1 | 500 | 2.66661e+07 |
| 1373 | 438856 | 2146.24 | 26177.8 | 1 | 800 | 1.06667e+07 |
| 1374 | 816867 | 3668.82 | 42656.7 | 1 | 1142 | 1.16667e+07 |
| 1375 | 440215 | 3149.62 | 4709.75 | 2 | 1350 | 80000 |
| 1376 | 453457 | 3668.09 | 5557.76 | 2 | 1574 | 72000 |
| 1377 | 366306 | 4535.02 | 6655.92 | 4 | 2000 | 200000 |
| 1378 | 604040 | 5355.15 | 7763.79 | 2 | 2200 | 120000 |
| 1379 | 612735 | 5981.21 | 8287.59 | 10 | 2500 | 220000 |
| 1380 | 646896 | 6304.74 | 8551.17 | 6 | 3000 | 140000 |
| 1381 | 876685 | 7085.75 | 9223.35 | 10 | 3500 | 300000 |
| 1382 | 662300 | 8169.57 | 10489.6 | 15 | 4365 | 500000 |
| 1383 | 823470 | 9456.71 | 11388.1 | 4 | 5000 | 400000 |
| 1384 | 884644 | 10478.2 | 18608 | 0 | 6000 | 2.5e+06 |
| 1385 | 945705 | 11845.2 | 17975.2 | 0 | 7143 | 3.6e+06 |
| 1386 | 976920 | 13906.3 | 18578.9 | 0 | 9000 | 3e+06 |
| 1387 | 1.15759e+06 | 17059.1 | 20899.1 | 50 | 10000 | 2.5e+06 |
| 1388 | 1.07297e+06 | 18681.6 | 23368.6 | 63 | 12000 | 2e+06 |
| 1389 | 1.11096e+06 | 21703.7 | 27362.7 | 80 | 13000 | 3e+06 |
| 1390 | 1.13342e+06 | 26735 | 30858 | 200 | 16000 | 800000 |
| 1391 | 1.10746e+06 | 38752.4 | 48466.8 | 800 | 20000 | 2e+06 |
| 1392 | 1.07194e+06 | 54167.5 | 68569.7 | 400 | 30000 | 6.8e+06 |
| 1393 | 1.08662e+06 | 58146.3 | 72945.4 | 500 | 32000 | 7e+06 |
| 1394 | 1.0979e+06 | 62121.6 | 77893.4 | 500 | 35000 | 2e+06 |
| 1395 | 1.11432e+06 | 66428.6 | 83732.8 | 3 | 40000 | 3e+06 |
| 1396 | 1.13662e+06 | 73554.7 | 94416.5 | 1000 | 40000 | 3e+06 |
| 1397 | 1.10576e+06 | 98903.3 | 136700 | 1000 | 55000 | 1.5e+07 |
| 1398 | 1.04465e+06 | 138114 | 200029 | 700 | 75000 | 1.1e+07 |
| 1399 | 1.00042e+06 | 200589 | 288502 | 1000 | 110000 | 1e+07 |
| 1400 | 1.02434e+06 | 307030 | 407958 | 40 | 170000 | 1.8e+07 |
| 1401 | 1.08138e+06 | 458806 | 606480 | 0 | 250000 | 3e+07 |
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 |
|---|---|
| 1363-1368 | COL6 |
| 1369-1373 | COL8 |
| 1374-1383 | COL7 |
| 1384-1401 | DYCOL06 |
Summary Statistics
numeric data
| Year | Count | Mean | Standard Deviation | Minimum | Median | Maximum |
|---|---|---|---|---|---|---|
| 1363 | 284777 | 411.47 | 1746.01 | 1 | 120 | 159000 |
| 1364 | 298727 | 451.07 | 1865.68 | 1 | 120 | 135000 |
| 1365 | 51627 | 598.6 | 2842.67 | 1 | 120 | 159600 |
| 1366 | 60706 | 579 | 2833.31 | 1 | 130 | 236250 |
| 1367 | 89079 | 732.07 | 3136.84 | 1 | 150 | 180000 |
| 1368 | 131496 | 820.59 | 4811.07 | 1 | 180 | 1.05e+06 |
| 1369 | 402059 | 2903.86 | 8612.34 | 1 | 1100 | 1.54e+06 |
| 1370 | 407202 | 3480.28 | 9292.44 | 1 | 1500 | 1.56202e+06 |
| 1371 | 409859 | 4226.07 | 9708.54 | 0 | 1800 | 900000 |
| 1372 | 292306 | 5014.51 | 11688.5 | 5 | 2100 | 1e+06 |
| 1373 | 470756 | 7029.2 | 16227 | 11 | 3000 | 2.56e+06 |
| 1374 | 874833 | 10603.2 | 26211 | 6 | 4760 | 6.48e+06 |
| 1375 | 503808 | 12101.6 | 30624.2 | 1 | 5400 | 4.5e+06 |
| 1376 | 523101 | 13746.6 | 41309.1 | 2 | 6000 | 1.4e+07 |
| 1377 | 422342 | 17756.8 | 63568.1 | 16 | 8000 | 9e+06 |
| 1378 | 706456 | 19859.3 | 61319.8 | 30 | 9000 | 1.03992e+07 |
| 1379 | 720008 | 20851.6 | 53452.4 | 100 | 10000 | 9.1e+06 |
| 1380 | 765426 | 21323.6 | 52495.5 | 60 | 10000 | 6e+06 |
| 1381 | 1.03796e+06 | 23325.9 | 61889.1 | 50 | 10400 | 2e+07 |
| 1382 | 793904 | 26006.9 | 61459.6 | 100 | 12000 | 9.8e+06 |
| 1383 | 907142 | 28181.4 | 71313.1 | 0 | 12500 | 8.5e+06 |
| 1384 | 970430 | 30997.4 | 78285.1 | 100 | 15000 | 2.04e+07 |
| 1385 | 1.03836e+06 | 35654.3 | 89698.8 | 100 | 17000 | 1.6e+07 |
| 1386 | 1.07582e+06 | 41261.9 | 100033 | 100 | 20000 | 1.245e+07 |
| 1387 | 1.27233e+06 | 50109.4 | 138416 | 150 | 24000 | 3.01e+07 |
| 1388 | 1.17969e+06 | 53819.9 | 130704 | 100 | 25000 | 1.863e+07 |
| 1389 | 1.21819e+06 | 64764.2 | 166725 | 0 | 30000 | 5.625e+07 |
| 1390 | 1.24789e+06 | 81204.4 | 174501 | 350 | 40000 | 2.4e+07 |
| 1391 | 1.22517e+06 | 111428 | 256317 | 600 | 50000 | 8e+07 |
| 1392 | 1.18932e+06 | 142847 | 287474 | 1000 | 75000 | 4.5e+07 |
| 1393 | 1.20728e+06 | 144548 | 292238 | 1000 | 75000 | 5.6e+07 |
| 1394 | 1.21571e+06 | 146790 | 305397 | 750 | 75000 | 4.55e+07 |
| 1395 | 1.23181e+06 | 150941 | 325466 | 500 | 80000 | 6.6e+07 |
| 1396 | 1.25768e+06 | 165915 | 386696 | 1000 | 88000 | 6.6e+07 |
| 1397 | 1.22093e+06 | 216154 | 513150 | 1500 | 110000 | 9.18e+07 |
| 1398 | 1.14916e+06 | 284890 | 700473 | 1000 | 150000 | 1.2e+08 |
| 1399 | 1.10205e+06 | 397307 | 892634 | 2500 | 200000 | 1.2e+08 |
| 1400 | 1.12713e+06 | 593368 | 1.20152e+06 | 5000 | 320000 | 1.59e+08 |
| 1401 | 1.08138e+06 | 963649 | 2.08837e+06 | 4000 | 500000 | 4e+08 |
Price_System
Column Metadata
Column Codes
| Years | Price_System |
|---|---|
| 1363-1368 | |
| 1369-1373 | COL4 |
| 1374-1401 |
Summary Statistics
category data
| Year | Free_Price | Subsidised_Price | nan |
|---|---|---|---|
| 1369 | 78.72 | 21.28 | 0 |
| 1370 | 81.58 | 18.15 | 0.27 |
| 1371 | 86.05 | 13.76 | 0.19 |
| 1372 | 87.39 | 12.47 | 0.14 |
| 1373 | 87.05 | 11.79 | 1.16 |
Categories
| 1369-1373 | |
|---|---|
| 0 | Free_Price |
| 1 | Subsidised_Price |