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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 Marital_Status Nationality Literacy_Status Education_Level Activity_Status Occupation_Code Work_Place Work_Type Weeks_in_Employment
1364-1365 ID Member_Number Relationship Sex Age Marital_Status Nationality Weeks_in_Household Literacy_Status Education_Level Activity_Status Occupation_Code Work_Place Work_Type Weeks_in_Employment
1366-1368 ID Member_Number Relationship Sex Age Weeks_in_Household Literacy_Status Education_Level Activity_Status Occupation_Code Work_Place Work_Type Weeks_in_Employment
1369-1383 ID Member_Number Relationship Sex Age Is_Literate Is_Student Education_Level Activity_Status Marital_Status
Years ADDRESS DYCOL01 DYCOL03 DYCOL04 DYCOL05 DYCOL06 DYCOL07 DYCOL08 DYCOL09 DYCOL10
1384-1402 ID Member_Number Relationship Sex Age Is_Literate Is_Student Education_Level Activity_Status Marital_Status

New to Old Titles

Years ID Member_Number Relationship Sex Age Is_Literate Is_Student Education_Level Activity_Status Marital_Status Weeks_in_Household Nationality Literacy_Status Occupation_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
1384-1402 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
1363-1402 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
1402 123857 1.63436e+10 5.02704e+09 1.0001e+10 1.29064e+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
1402:
  column_code: DYCOL01
  type: UInt8

Column Codes

Years Member_Number
1363-1383 COL01
1384-1402 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
1402 123857 2.46 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
1402:
  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
1384-1402 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
1402 42.83 30.59 24.23 0.85 0.57 0.39 0.32 0.19 0.04

Categories

1363-1402
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
1402:
  column_code: DYCOL04
  type: category
  categories:
    1: Male
    2: Female
  replace: null

Column Codes

Years Sex
1363-1383 COL04
1384-1402 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
1402 50.27 49.73

Categories

1363-1402
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
1402:
  column_code: DYCOL05
  type: UInt8

Column Codes

Years Age
1363-1383 COL05
1384-1402 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
1402 123857 35.47 21.57 0 35 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
1402:
  column_code: DYCOL06
  type: boolean
  true_condition: 1

Column Codes

Years Is_Literate
1363-1368
1369-1383 COL06
1384-1402 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
1402 79.62 13.96 6.41

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
1402:
  column_code: DYCOL07
  type: boolean
  true_condition: 1

Column Codes

Years Is_Student
1363-1368
1369-1383 COL07
1384-1402 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
1402 56.69 22.93 20.38

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: Lower_Secondary
    31: Higher_Secondary
    41: Pre_University
    51: Short_Cycle_Tertiary
    52: Bachelors
    53: Masters
    61: Doctoral
    71: Unofficial
  replace: null
1394:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Lower_Secondary
    31: Higher_Secondary
    41: Pre_University
    51: Short_Cycle_Tertiary
    52: Bachelors
    53: Masters
    61: Doctoral
    71: Unofficial
  replace:
    '1': null
1395:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Lower_Secondary
    31: Higher_Secondary
    41: Pre_University
    51: Short_Cycle_Tertiary
    52: Bachelors
    53: Masters
    61: Doctoral
    71: Unofficial
  replace: null
1396:
  column_code: DYCOL08
  type: category
  categories:
    11: Primary
    21: Lower_Secondary
    31: Higher_Secondary
    41: Pre_University
    51: Short_Cycle_Tertiary
    52: Bachelors
    53: Masters
    61: Doctoral
    71: Unofficial
  replace: null
1397:
  column_code: DYCOL08
  type: category
  categories:
    1: Primary
    2: Lower_Secondary
    3: Higher_Secondary
    4: Pre_University
    5: Short_Cycle_Tertiary
    6: Bachelors
    7: Masters
    8: Doctoral
    9: Unofficial
  replace: null
1398:
  column_code: DYCOL08
  type: category
  categories:
    1: Primary
    2: Lower_Secondary
    3: Higher_Secondary
    4: Pre_University
    5: Short_Cycle_Tertiary
    6: Bachelors
    7: Masters
    8: Doctoral
    9: Unofficial
  replace: null
1399:
  column_code: DYCOL08
  type: category
  categories:
    1: Primary
    2: Lower_Secondary
    3: Higher_Secondary
    4: Pre_University
    5: Short_Cycle_Tertiary
    6: Bachelors
    7: Masters
    8: Doctoral
    9: Unofficial
  replace: null
1400:
  column_code: DYCOL08
  type: category
  categories:
    1: Primary
    2: Lower_Secondary
    3: Higher_Secondary
    4: Pre_University
    5: Short_Cycle_Tertiary
    6: Bachelors
    7: Masters
    8: Doctoral
    9: Unofficial
  replace: null
1401:
  column_code: DYCOL08
  type: category
  categories:
    1: Primary
    2: Lower_Secondary
    3: Higher_Secondary
    4: Pre_University
    5: Short_Cycle_Tertiary
    6: Bachelors
    7: Masters
    8: Doctoral
    9: Unofficial
  replace: null
1402:
  column_code: DYCOL08
  type: category
  categories:
    1: Primary
    2: Lower_Secondary
    3: Higher_Secondary
    4: Pre_University
    5: Short_Cycle_Tertiary
    6: Bachelors
    7: Masters
    8: Doctoral
    9: Unofficial
  replace: null

Column Codes

Years Education_Level
1363-1365 COL10
1366-1383 COL08
1384-1402 DYCOL08

Summary Statistics

string data

Year 106 234 346 512 105 104 511 103 354 102 107 101 233 522 341 231 232 342 343 364 521 344 345 514 901 513 353 352 002 362 363 --- 108 517 510 602 905 520 516 515 310 109 601 605 001 604 606 603 907 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 74 52 93 41 81 82 42 83 71 84 91 85 86 43 88 00 92 72 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 41.0 61.0 24.0 63.0 42.0 73.0 35.0 87.0 43.0 51.0 40.0 70.0 88.0 50.0 82.0 93.0 49.0 81.0 47.0 89.0 45.0 60.0 10.0 71.0 83.0 84.0 92.0 30.0 85.0 38.0 80.0 20.0 1.0 28.0 86.0 29.0 46.0 39.0 94.0 2.0 3.0 4.0 6.0 5.0 48.0 44.0 76.0 75.0 78.0 77.0 27.0 16 15 14 48 39 49 35 38 76 10 75 40 30 78 77 214 313 213 212 211 312 317 311 322 324 314 319 321 315 316 323 326 216 328 325 318 215 210 327 301 302 906 222 100 221 303 902 300 908 220 904 903 32A 217 - 31D 31C 31b -- 112
1363 54.65 6.27 4.47 4.47 4.0 3.65 2.83 2.79 2.56 2.5 2.46 1.53 1.41 0.98 0.95 0.79 0.77 0.42 0.4 0.36 0.3 0.23 0.21 0.15 0.14 0.12 0.1 0.06 0.06 0.05 0.04 0.03 0.03 0.03 0.02 0.02 0.02 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1364 55.74 6.59 4.4 4.53 4.36 3.6 2.88 2.35 2.58 2.26 2.23 1.39 1.3 0.86 0.88 0.68 0.74 0.34 0.41 0.37 0.29 0.22 0.23 0.02 0.13 0.11 0.06 0.05 0.05 0.05 0.03 0.04 0.03 0.03 0.02 0.01 0.03 0.03 0.03 0.01 0.01 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1365 54.31 6.95 4.54 4.57 4.62 3.61 2.73 2.51 2.56 2.31 2.4 1.46 1.65 0.89 0.87 0.72 0.68 0.26 0.4 0.25 0.39 0.21 0.16 0.07 0.11 0.06 0.08 0.04 0.08 0.04 0.02 0.09 0.06 0.03 0.06 0.01 0.04 0.02 0.05 0.01 0.03 0.01 0.01 0.01 0.0 0.01 0.01 0.01 0.0 0.0
1366 53.16 6.15 4.77 4.18 4.1 3.78 3.67 2.78 2.74 2.69 2.51 1.37 1.31 1.16 1.1 0.84 0.7 0.67 0.55 0.4 0.34 0.16 0.12 0.08 0.07 0.07 0.06 0.06 0.06 0.06 0.04 0.04 0.03 0.03 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.0 0.0 0.0 0.0 0.0 0.0
1367 52.17 5.76 4.53 4.36 4.03 3.96 3.55 3.16 2.79 2.96 2.44 1.54 1.31 1.06 1.09 0.84 1.13 0.7 0.56 0.43 0.49 0.15 0.12 0.1 0.06 0.07 0.12 0.11 0.03 0.07 0.07 0.01 0.05 0.02 0.02 0.02 0.01 0.0 0.01 0.0 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.0 0.01 0.0
1368 50.58 4.69 4.97 4.3 4.07 4.14 5.32 3.26 2.83 3.21 2.71 1.56 1.12 1.22 1.04 0.97 1.22 0.53 0.62 0.37 0.46 0.15 0.07 0.08 0.04 0.09 0.02 0.07 0.04 0.05 0.03 0.01 0.03 0.02 0.02 0.02 0.0 0.0 0.01 0.0 0.01 0.01 0.01 0.0 0.0 0.0 0.02 0.0 0.01 0.0 0.0 0.0 0.0
1369 45.66 4.35 5.13 4.53 4.23 4.3 6.09 3.75 3.12 3.47 2.95 1.63 1.03 1.41 1.22 0.98 1.73 0.41 2.21 0.39 0.51 0.15 0.05 0.08 0.03 0.06 0.01 0.08 0.04 0.05 0.02 0.01 0.04 0.03 0.01 0.01 0.0 0.0 0.0 0.02 0.0 0.0 0.0 0.0 0.0 0.01 0.01 0.11 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.0
1370 43.14 4.92 5.3 4.64 4.36 4.33 5.95 4.04 3.44 3.96 3.08 1.41 0.88 1.5 1.23 1.11 1.09 0.43 3.2 0.41 0.53 0.09 0.18 0.08 0.04 0.1 0.01 0.08 0.04 0.06 0.02 0.01 0.03 0.02 0.01 0.02 0.0 0.0 0.01 0.02 0.01 0.01 0.02 0.0 0.01 0.01 0.02 0.11 0.02 0.0 0.0 0.0 0.01 0.01 0.01 0.0 0.0
1371 42.4 4.78 5.28 4.51 3.96 4.35 6.6 4.09 3.85 3.9 3.34 1.3 0.8 1.56 1.4 1.16 0.89 0.41 3.18 0.51 0.68 0.11 0.17 0.06 0.04 0.11 0.01 0.11 0.04 0.06 0.02 0.01 0.02 0.03 0.02 0.03 0.0 0.0 0.01 0.02 0.0 0.01 0.01 0.01 0.0 0.0 0.02 0.07 0.01 0.01 0.0 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0
1372 38.43 4.82 5.43 4.28 3.67 4.39 7.43 4.86 4.46 4.24 3.77 1.29 1.0 1.88 1.63 1.3 0.84 0.44 3.23 0.67 0.71 0.11 0.11 0.06 0.06 0.09 0.02 0.09 0.05 0.06 0.03 0.02 0.03 0.05 0.02 0.01 0.0 0.01 0.02 0.08 0.0 0.0 0.01 0.0 0.0 0.0 0.23 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.02 0.0 0.0 0.0
1373 35.33 4.5 5.33 4.05 3.45 4.25 7.93 5.64 5.19 4.49 4.12 1.16 1.14 2.13 1.76 1.65 0.5 0.59 3.54 0.82 0.76 0.11 0.03 0.07 0.11 0.05 0.03 0.07 0.04 0.05 0.05 0.01 0.05 0.06 0.04 0.02 0.0 0.02 0.02 0.06 0.02 0.0 0.02 0.01 0.66 0.0 0.0 0.0 0.0 0.0 0.0 0.06 0.0 0.0 0.0
1374 35.45 4.29 5.42 4.08 3.46 4.14 8.18 5.79 5.07 4.48 4.23 1.19 0.96 2.19 1.81 1.69 0.48 0.47 3.46 0.8 0.83 0.11 0.02 0.04 0.09 0.06 0.02 0.04 0.03 0.03 0.03 0.01 0.02 0.04 0.02 0.01 0.01 0.04 0.01 0.1 0.0 0.0 0.0 0.0 0.01 0.02 0.72 0.01 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.03 0.0 0.0 0.0 0.0 0.0 0.0
1375 34.02 4.19 5.25 4.11 3.32 4.16 8.95 6.11 0.89 4.79 4.15 1.2 0.22 3.05 3.43 0.0 0.53 0.0 0.79 0.07 0.1 0.93 1.23 0.82 0.0 1.08 0.01 0.36 0.19 0.09 0.01 0.03 0.01 0.0 0.03 0.02 0.02 0.01 0.0 0.0 0.03 0.02 0.04 0.02 0.02 0.17 0.18 0.0 0.11 1.28 0.0 1.88 1.12 0.37 0.17 0.13 0.09 0.08 0.07 0.04 0.01 0.0 0.0
1376 33.15 4.27 5.09 3.74 3.1 4.0 9.08 6.54 0.57 4.72 4.56 0.96 0.16 3.45 2.56 0.52 0.81 0.11 0.1 0.99 1.69 0.89 0.0 1.88 0.02 0.44 0.29 0.09 0.0 0.03 0.0 0.01 0.02 0.04 0.01 0.05 0.01 0.05 0.03 0.03 0.02 0.01 0.11 0.03 0.29 1.12 1.74 1.36 0.4 0.19 0.13 0.26 0.17 0.07 0.04 0.0 0.0 0.0
1377 32.32 5.28 5.01 3.72 2.91 3.95 7.96 6.91 0.55 4.57 4.58 0.84 0.14 3.38 2.12 0.44 0.74 0.11 0.11 1.16 1.83 1.01 0.01 2.45 0.01 0.38 0.53 0.1 0.02 0.03 0.04 0.03 0.12 0.01 0.09 0.01 0.04 0.03 0.04 0.01 0.02 0.15 0.05 0.0 0.33 1.17 0.0 1.76 1.3 0.33 0.25 0.16 0.54 0.25 0.06 0.04 0.01 0.0 0.0
1378 31.45 5.08 4.84 3.5 4.37 3.67 7.91 7.24 0.3 4.53 4.59 0.81 0.08 3.57 1.85 0.34 0.79 0.05 0.11 1.15 2.05 0.95 0.0 2.94 0.01 0.43 0.75 0.11 0.02 0.02 0.0 0.11 0.03 0.16 0.01 0.12 0.01 0.03 0.02 0.03 0.09 0.02 0.11 0.05 0.0 0.41 0.95 1.54 1.09 0.31 0.15 0.15 0.77 0.27 0.05 0.03 0.0 0.0 0.0
1379 30.87 5.92 4.74 3.47 2.55 3.82 8.08 7.86 0.19 4.47 4.54 0.85 0.06 3.7 1.69 0.32 0.86 0.05 0.12 1.3 2.24 1.04 0.0 3.0 0.0 0.42 0.0 0.94 0.13 0.09 0.03 0.0 0.25 0.02 0.24 0.01 0.21 0.01 0.03 0.02 0.07 0.01 0.02 0.11 0.05 0.0 0.35 0.83 1.52 0.96 0.27 0.15 0.16 0.92 0.35 0.06 0.03 0.01 0.0 0.0
1380 30.18 6.08 4.53 3.24 2.39 3.6 7.74 8.16 0.15 4.54 4.53 0.85 0.04 3.97 1.63 0.32 0.98 0.04 0.12 1.42 2.58 1.08 0.0 2.99 0.36 1.55 0.14 0.04 0.04 0.0 0.35 0.04 0.36 0.02 0.36 0.01 0.02 0.02 0.05 0.0 0.04 0.08 0.04 0.33 0.76 1.44 0.75 0.21 0.11 0.19 1.04 0.37 0.06 0.02 0.0 0.0
1381 29.28 6.0 4.24 3.11 2.16 3.43 8.03 8.48 0.13 4.45 4.59 0.87 0.05 3.58 1.45 0.21 1.07 0.04 0.12 1.63 2.7 1.2 0.0 3.17 0.01 0.41 0.0 2.21 0.16 0.02 0.03 0.0 0.48 0.03 0.5 0.02 0.49 0.01 0.03 0.01 0.03 0.01 0.04 0.11 0.06 0.0 0.37 0.71 1.33 0.77 0.22 0.13 0.18 1.12 0.4 0.07 0.03 0.0 0.0 0.0
1382 28.55 6.18 4.11 3.12 2.28 3.32 7.82 9.14 0.15 4.44 4.48 0.79 0.06 3.51 1.21 0.13 1.12 0.02 0.11 1.71 2.68 1.25 0.0 3.02 0.44 2.74 0.26 0.1 0.02 0.6 0.02 0.54 0.01 0.61 0.01 0.03 0.01 0.02 0.01 0.05 0.13 0.03 0.45 0.68 1.25 0.69 0.2 0.14 0.17 0.98 0.49 0.09 0.03 0.01 0.0 0.0
1383 27.85 0.2 0.26 1.34 0.05 0.77 2.19 0.12 3.08 2.91 0.12 0.26 3.36 0.07 9.37 1.29 0.66 0.36 0.02 0.74 4.22 0.43 4.18 0.0 1.36 0.01 1.93 0.0 0.35 1.29 0.0 2.62 0.02 0.03 3.19 0.02 0.05 0.76 0.07 0.0 3.38 0.02 0.15 7.16 6.51 3.9 0.97 0.85 0.57 0.47 0.24 0.08 0.06 0.04 0.02 0.02 0.01 0.0 0.0
1384 27.56 8.41 3.65 2.68 2.42 2.89 7.69 10.65 0.06 3.12 3.03 0.64 0.04 2.88 0.95 0.39 1.38 0.01 0.17 2.11 2.07 1.49 0.0 2.82 0.0 0.32 0.0 4.09 0.39 0.03 0.02 0.57 0.02 0.8 0.02 0.91 0.01 0.05 0.01 0.01 0.0 0.06 0.04 0.07 0.01 0.33 1.17 1.16 0.63 0.25 0.12 0.3 0.92 0.44 0.07 0.03 0.0
1385 12.06 2.1 3.91 3.28 1.71 2.82 2.41 2.77 2.26 1.36 0.57 0.16 0.57 0.07 0.08 0.28 0.04 0.02 0.02 0.05 0.02 0.02 0.01 0.02 0.06 0.01 0.01 0.0 0.0 0.0 27.76 8.0 3.77 2.95 2.93 2.9 2.83 2.74 2.36 1.86 0.96 0.96 0.68 0.57 0.54 0.4 0.32 0.29 0.24 0.05 0.04 0.02 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1386 27.76 12.43 2.3 3.44 3.18 1.99 2.67 2.4 2.72 2.19 1.5 0.74 0.19 0.48 0.07 0.06 0.22 0.06 0.02 0.03 0.04 0.02 0.02 0.01 0.02 0.08 0.01 0.01 0.0 0.0 0.0 0.01 8.49 4.0 2.86 2.68 2.49 2.68 2.77 2.29 1.89 1.05 1.02 0.58 0.61 0.52 0.22 0.3 0.24 0.22 0.02 0.03 0.01 0.0 0.01 0.01 0.22 0.04 0.0 0.0 0.01 0.01 0.0 0.0 0.01 0.01 0.0 0.0
1387 27.25 13.1 2.61 3.1 3.09 2.37 2.65 2.31 2.65 2.22 1.72 0.79 0.17 0.48 0.13 0.06 0.22 0.04 0.02 0.04 0.04 0.02 0.01 0.01 0.02 0.05 0.01 0.01 0.0 0.01 0.0 9.67 4.24 2.2 2.19 2.25 2.6 2.74 2.23 1.87 0.96 1.01 0.67 0.59 0.48 0.07 0.27 0.2 0.23 0.03 0.03 0.01 0.01 0.0 0.0 0.15 0.05 0.0 0.01 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.05 0.0
1388 27.69 13.54 2.63 2.61 2.93 2.49 2.6 2.4 2.63 2.19 1.71 0.75 0.16 0.44 0.12 0.06 0.16 0.03 0.02 0.02 0.04 0.02 0.02 0.01 0.02 0.03 0.01 0.01 0.0 0.0 0.0 9.49 4.25 2.26 2.16 2.14 2.55 2.33 2.15 2.08 1.0 1.02 0.57 0.6 0.71 0.09 0.3 0.22 0.19 0.05 0.06 0.0 0.01 0.01 0.01 0.14 0.05 0.0 0.05 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.17 0.0 0.0
1389 27.41 13.7 3.16 2.39 2.92 2.92 2.53 2.29 2.33 2.11 1.72 0.84 0.23 0.46 0.17 0.08 0.12 0.03 0.03 0.02 0.05 0.02 0.03 0.02 0.01 0.08 0.02 0.02 0.0 0.0 0.01 0.0 0.0 9.44 4.19 2.08 1.93 2.01 2.5 2.46 1.98 2.11 1.08 0.9 0.72 0.66 0.84 0.03 0.26 0.22 0.45 0.06 0.04 0.0 0.0 0.01 0.01 0.03 0.01 0.0 0.04 0.0 0.01 0.0 0.0 0.0 0.0 0.19 0.0
1390 26.81 13.48 3.46 2.52 2.83 2.97 2.49 2.35 2.21 2.04 1.8 0.89 0.31 0.45 0.25 0.13 0.15 0.15 0.04 0.03 0.02 0.04 0.03 0.03 0.02 0.02 0.07 0.02 0.01 0.0 0.0 0.0 0.0 9.78 4.28 1.8 1.96 2.0 2.45 2.31 1.86 1.91 1.18 1.02 0.63 0.56 0.97 0.06 0.29 0.21 0.4 0.05 0.02 0.0 0.01 0.01 0.01 0.36 0.01 0.0 0.03 0.0 0.02 0.0 0.0 0.0 0.01 0.0 0.16 0.0 0.0
1391 26.04 13.51 3.85 2.67 2.9 3.05 2.51 2.37 2.6 2.11 1.8 0.87 0.35 0.5 0.32 0.19 0.39 0.13 0.05 0.04 0.02 0.05 0.03 0.03 0.02 0.02 0.04 0.02 0.0 0.0 0.0 0.0 9.71 4.36 1.85 1.93 1.49 2.28 2.37 1.69 2.06 1.29 0.89 0.67 0.64 0.98 0.1 0.24 0.17 0.4 0.08 0.01 0.0 0.01 0.01 0.01 0.07 0.01 0.0 0.03 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.16 0.0
1392 26.63 12.85 10.08 7.96 4.22 3.69 2.82 2.79 2.52 2.49 2.34 2.28 2.23 2.0 1.9 1.79 1.49 1.34 1.27 1.14 1.1 0.75 0.7 0.69 0.49 0.43 0.3 0.29 0.27 0.23 0.17 0.14 0.14 0.07 0.07 0.05 0.05 0.04 0.03 0.03 0.03 0.03 0.02 0.02 0.02 0.01 0.01 0.0 0.0 0.0 0.0

category data

Year Primary nan Lower_Secondary Pre_University Bachelors Higher_Secondary Short_Cycle_Tertiary Masters Unofficial Doctoral
1393 27.78 26.4 14.09 12.78 7.07 5.18 2.74 1.05 2.83 0.07
1394 27.97 25.97 14.48 13.21 7.09 4.58 2.72 1.15 2.73 0.08
1395 27.66 25.86 14.55 13.44 7.02 4.41 2.69 1.34 2.93 0.09
1396 27.78 25.45 14.64 13.76 7.09 4.2 2.67 1.4 2.91 0.1
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
1402 30.29 20.38 16.45 15.58 8.07 4.68 2.53 1.7 0.21 0.11

Categories

1363-1392 1393-1396 1397-1402
1 Primary
2 Lower_Secondary
3 Higher_Secondary
4 Pre_University
5 Short_Cycle_Tertiary
6 Bachelors
7 Masters
8 Doctoral
9 Unofficial
11 Primary
21 Lower_Secondary
31 Higher_Secondary
41 Pre_University
51 Short_Cycle_Tertiary
52 Bachelors
53 Masters
61 Doctoral
71 Unofficial

Replacements

Year Value Replace_Value Frequency
1394 1 nan 1

Activity_Status

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
1402:
  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_Status
1363-1365 COL11
1366-1383 COL09
1384-1402 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
1402 27.54 25.62 15.63 13.53 11.59 4.26 1.83

Categories

1363-1402
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

Marital_Status

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
1402:
  column_code: DYCOL10
  type: category
  categories:
    1: Married
    2: Widowed
    3: Divorced
    4: Bachelor
  replace: null

Column Codes

Years Marital_Status
1363 COL07
1364-1365 COL06
1366-1368
1369-1383 COL10
1384-1402 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
1402 50.93 28.7 13.53 5.49 1.35

Categories

1363-1402
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
1369-1402

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
1366-1402

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
1369-1402

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

Occupation_Code

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

Column Codes

Years Occupation_Code
1363-1365 COL12
1366-1368 COL10
1369-1402

Summary Statistics

string data

Year 612 614 753 956 410 985 622 613 133 452 624 X03 552 843 310 951 893 791 132 776 589 451 623 754 971 110 872 627 571 530 839 811 849 831 582 832 072 139 801 391 X04 875 359 443 845 510 871 959 851 873 955 931 751 778 300 626 855 551 321 331 441 974 700 858 752 932 943 149 771 857 952 034 572 420 629 953 141 211 962 395 560 625 755 820 795 724 711 854 380 370 957 490 163 219 880 641 779 399 161 958 981 973 921 983 961 892 339 394 803 963 901 033 453 134 731 053 999 774 032 799 796 842 061 X01 078 581 131 949 819 022 773 619 939 079 615 212 772 600 084 031 745 054 035 942 969 599 841 813 193 195 400 202 123 722 055 191 351 856 213 902 929 728 090 746 775 074 742 180 876 122 076 712 744 713 071 068 173 063 201 013 649 593 064 052 041 067 083 926 756 062 986 630 340 023 066 759 749 910 891 733 152 760 069 727 075 874 616 729 129 021 844 192 042 979 077 859 199 037 121 726 793 024 721 038 862 179 029 194 135 322 142 941 954 393 570 360 531 442 834 532 540 392 621 611 732 853 802 761 422 632 432 162 922 421 899 812 895 984 073 500 794 789 065 734 159 039 925 781 352 723 835 025 741 342 783 927 592 036 591 171 777 X02 852 982 081 431 174 027 014 792 782 725 151 631 028 026 520 082 043 833 972 861 924 175 780 877
1363 70.76 6.78 2.35 0 0 1.71 1.23 0.5 0.68 0.85 0.38 0.25 0.58 0.22 0.36 0.1 0.33 0.07 0.31 0.14 0.27 0.25 0.26 0.11 2.59 0.16 0.07 0.19 0.1 0.04 0.04 0.1 0.18 0.14 0.01 0.12 0.11 0.1 0.1 0.01 0.0 0.1 0.09 0.05 0.05 0.23 0.04 0.11 0.01 0.01 0.08 0.06 0.14 0.07 0.07 0.17 0.02 0.06 0.13 0.05 0.02 0.02 0.03 0.04 0.03 0.07 0.02 0.07 0.04 0.06 0.04 0.02 0.05 0.03 0.02 0.02 0.05 0.03 0.05 0.05 0.03 0 0.02 0.04 0.03 0.06 0.01 0.08 0.0 0.06 0.02 0 0.0 0.01 0.08 0.09 0.01 0.01 0.02 0.05 0.02 0.0 0.01 1.98 0 0.01 0.01 0.04 0.03 0.03 0.07 0.01 0.01 0.01 0.02 0.01 0.03 0.01 0.06 0.03 0.03 0.02 0.01 0.01 0.01 0.02 0.01 0.01 0.02 0.04 0.05 0.08 0.01 0.01 0.01 0.01 0.02 0 0.01 0.0 0.01 0.02 0.01 0.01 0 0.01 0.0 0.01 0.01 0.0 0.0 0.01 0.0 0.01 0.01 0.02 0.0 0.0 0.0 0 0.0 0.0 0.01 0.0 0.0 0.0 0.01 0.02 0.03 0.04 0.01 0.01 0.01 0.01 0.01 0 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.01 0.01 0.01 0.01 0.0 0.0 0.0 0.0 0 0 0.0 0.0 0.0 0 0.16 0.15 0.15 0.14 0.11 0.09 0.08 0.07 0.05 0.05 0.04 0.02 0.02 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1364 71.66 7.02 2.26 0.01 0 1.42 1.16 0.58 0.66 0.77 0.35 0.3 0.42 0.23 0.3 0.08 0.36 0.07 0.29 0.17 0.26 0.25 0.22 0.12 2.33 0.15 0.07 0.21 0.11 0.05 0.03 0.09 0.17 0.15 0.01 0.11 0.11 0.08 0.09 0.02 0.0 0.09 0.08 0.05 0.05 0.17 0.05 0.09 0.01 0.01 0.08 0.08 0.11 0.08 0.07 0.15 0.02 0.07 0.12 0.07 0.02 0.02 0.03 0.05 0.04 0.05 0.03 0.06 0.03 0.05 0.03 0.02 0.03 0.04 0.02 0.01 0.04 0.03 0.05 0.05 0.03 0 0.03 0.04 0.02 0.08 0.01 0.07 0.0 0.05 0.02 0 0.0 0.02 0.08 0.1 0.02 0.01 0.02 0.04 0.02 0.01 2.22 0.01 0.01 0.02 0.04 0.02 0.02 0 0.01 0.01 0.01 0.01 0.01 0.04 0.02 0.05 0.03 0.02 0.02 0.01 0.01 0.01 0.02 0.01 0.02 0.02 0.03 0.06 0.08 0.02 0.01 0 0.01 0.02 0 0.0 0.0 0.02 0.03 0.01 0 0 0.01 0.0 0.01 0.01 0.0 0.0 0.01 0.01 0.01 0.01 0.01 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0 0 0.01 0.04 0.02 0.01 0.01 0.02 0.01 0.0 0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.01 0.0 0.0 0.01 0 0.01 0.0 0.0 0.0 0.0 0.0 0 0 0.0 0.0 0.0 0 0.0 0.0 0.0 0.14 0.11 0.13 0.1 0.1 0.06 0.08 0.06 0.04 0.03 0.1 0.02 0.01 0.01 0.01 0.0 0.02 0.0 0.01 0.02 0.0 0.01 0.0 0.01 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1365 70.81 8.29 2.31 0.01 0 1.33 1.24 0.62 0.72 0.67 0.26 0.29 0.47 0.19 0.21 0.09 0.32 0.03 0.27 0.14 0.31 0.27 0.27 0.11 2.59 0.15 0.09 0.23 0.09 0.04 0.03 0.14 0.15 0.09 0.02 0.12 0.11 0.09 0.07 0.02 0.09 0.09 0.06 0.03 0.18 0.04 0.09 0.01 0.01 0.08 0.05 0.12 0.06 0.09 0.11 0.03 0.06 0.1 0.05 0.01 0.02 0.02 0.04 0.04 0.06 0.03 0.05 0.02 0.06 0.02 0.01 0.05 0.03 0.02 0.02 0.04 0.04 0.04 0.06 0.03 0 0 0.06 0 0.07 0.01 0.11 0.03 0.02 0.01 0.01 0.05 0.14 0.01 0.02 0.05 0.03 0.02 0.01 1.72 0 0 0.02 0.03 0.03 0.02 0.01 0.01 0.01 0.01 0.03 0.02 0.02 0.02 0.04 0.02 0.01 0.02 0 0.02 0.01 0 0.02 0.02 0.05 0.04 0.1 0.01 0.01 0.01 0.01 0.02 0 0.01 0.04 0 0.02 0.01 0.01 0.01 0.02 0.01 0.0 0.02 0.01 0.03 0 0.0 0.01 0.02 0.04 0.03 0 0.01 0.01 0.01 0.0 0 0.0 0.01 0.0 0.02 0.0 0.0 0.01 0.01 0.01 0.0 0.0 0.01 0.01 0 0.0 0.01 0.0 0.17 0.08 0.14 0.12 0.08 0.07 0.09 0.06 0.06 0.02 0.12 0.01 0.02 0.03 0.06 0.0 0.02 0.0 0.0 0.02 0.01 0.03 0.0 0.01 0.01 0.01 0.0 0.0 0.0 0.01 0.0 0.01 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1366 72.56 7.69 2.13 1.86 1.61 1.42 1.26 0.63 0.56 0.53 0.28 0.4 0.42 0.47 0.19 0.37 0.3 0.17 0.28 0.23 0.2 0.24 0.31 0.14 0.02 0.2 0.15 0.2 0.09 0.13 0.1 0.13 0.11 0.14 0.14 0.08 0.06 0.1 0.09 0.13 0.08 0.07 0.06 0.08 0.05 0.04 0.08 0.09 0.04 0.04 0.05 0.04 0.05 0.13 0.06 0.05 0.09 0.06 0.05 0.04 0.04 0.04 0.07 0.03 0.04 0.08 0.03 0.05 0.08 0.03 0.04 0.06 0.02 0.08 0.03 0.07 0.01 0.01 0.03 0.02 0.02 0.02 0.04 0.04 0.05 0.03 0.02 0.03 0.03 0.06 0.04 0.02 0.01 0.02 0.03 0.01 0.04 0.02 0.02 0.0 0.01 0.04 0.02 0.01 0.02 0.02 0.02 0.02 0.01 0.01 0.03 0.01 0.01 0.01 0.02 0.03 0 0.01 0.02 0 0.03 0.01 0.01 0.02 0.01 0.02 0.02 0.01 0.01 0.03 0.02 0.01 0.03 0.02 0 0 0.03 0.02 0.01 0.0 0.03 0.01 0.01 0.02 0.05 0.01 0 0.01 0.01 0 0 0.01 0.0 0.02 0.01 0.01 0.01 0.01 0.0 0 0 0.01 0 0.01 0.02 0.0 0.01 0 0.02 0.01 0.0 0.02 0.01 0.01 0.0 0.0 0.01 0 0.02 0 0 0.0 0.0 0.01 0.01 0.02 0.01 0.01 0.01 0.0 0.01 0.0 0.01 0.01 0.01 0.01 0.0 0.01 0.01 0.01 0.01 0.01 0 0.01 0.0 0.0 0.0 0.0 0.01 0.0 0.01 0.0 0.0
1367 73.14 7.06 2.54 1.81 1.53 1.42 1.14 0.66 0.51 0.53 0.32 0.35 0.36 0.42 0.25 0.34 0.3 0.14 0.22 0.3 0.21 0.23 0.21 0.13 0.02 0.17 0.18 0.15 0.1 0.1 0.09 0.14 0.13 0.14 0.11 0.11 0.09 0.1 0.12 0.14 0.1 0.06 0.09 0.1 0.06 0.06 0.09 0.06 0.04 0.08 0.07 0.05 0.05 0.09 0.03 0.05 0.08 0.04 0.06 0.05 0.04 0.05 0.04 0.04 0.04 0.07 0.04 0.03 0.06 0.02 0.05 0.07 0.02 0.04 0.03 0.07 0.02 0.03 0.03 0.02 0.03 0.02 0.01 0.03 0.02 0.02 0.03 0.03 0.03 0.06 0.03 0.05 0.02 0.03 0.02 0.02 0.1 0.02 0.03 0.01 0.03 0.06 0.01 0.01 0.01 0.02 0.01 0.03 0.02 0.02 0.03 0.02 0.01 0.02 0.02 0.01 0 0.07 0.01 0.02 0.02 0.02 0.01 0.02 0.01 0.01 0.02 0.02 0.03 0.02 0 0 0.02 0.01 0.01 0.03 0.01 0 0.0 0.01 0.01 0.02 0.02 0.05 0 0.02 0.01 0.0 0.01 0.01 0.01 0.01 0 0.0 0.0 0.0 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.0 0.01 0.01 0.01 0.01 0.01 0 0.0 0.02 0.0 0.0 0 0.01 0.0 0.0 0.0 0.0 0.0 0.01 0 0.01 0.02 0.01 0.01 0.01 0.01 0 0.01 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0 0.0 0.0 0 0.01 0.01 0.01 0 0.01 0 0.01 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.01 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1368 71.76 7.65 3.35 2.16 1.57 1.47 1.08 0.66 0.54 0.53 0.42 0.41 0.39 0.36 0.3 0.3 0.27 0.27 0.26 0.26 0.21 0.21 0.2 0.18 0.17 0.16 0.15 0.12 0.11 0.1 0.1 0.1 0.09 0.09 0.09 0.08 0.08 0.08 0.08 0.08 0.07 0.07 0.07 0.07 0.07 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.05 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.04 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.0 0.0 0 0.0 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0.0 0.0 0 0.0 0 0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 0 0 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0

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
1369-1402

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
1369-1402

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
1369-1402

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