Household Income and Expenditure Survey 2009-2010
Kingdom of Eswatini, 2009 - 2010
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
57151
Downloads
3583
- Data files
- aggpov_annual
- aggpov_educ
- aggpov_food
- aggpov_food_own
- aggpov_food_received
- aggpov_health
- aggpov_monthly
- aggpov_nfood
- aggpov_nfood_own
- aggpov_nfood_received
- aggpov_rent
- exp_annual
- exp_educ
- exp_food
- exp_food_own
- exp_food_received
- exp_health
- exp_monthly
- exp_nfood
- exp_nfood_own
- exp_nfood_received
- exp_rent
- R000_Identification
- R1_Individual
- R2_Dwelling
- R3_Credit1
- R3_Credit2
- R4_Shock
- R5_Major_exp
- R6_Livestock
- R7_Farm_input
- R8_Medical_exp
- R9_Regular_payment
- R12_Income
- R12_Income2
- R13_Wage
- R14_Wage_deduc
- R15_Enterprises
- R16_Purchase
- R18_Cash
- R19_GS_received
- R20_GS_given
- R21_Own_produced
- SWZ2010_Poverty
amount outstanding (croutsta)
Data file: R3_Credit1
Overview
Valid:
1696
Invalid:
0
Minimum:
0
Maximum:
800000
Type:
Discrete
Decimal:
0
Start:
34
End:
39
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
How much is outstanding ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 3 | |
| 8 | |
| 10 | |
| 12 | |
| 13 | |
| 15 | |
| 20 | |
| 25 | |
| 28 | |
| 30 | |
| 40 | |
| 50 | |
| 60 | |
| 65 | |
| 70 | |
| 75 | |
| 80 | |
| 83 | |
| 90 | |
| 100 | |
| 106 | |
| 120 | |
| 130 | |
| 135 | |
| 140 | |
| 150 | |
| 160 | |
| 165 | |
| 180 | |
| 200 | |
| 216 | |
| 220 | |
| 230 | |
| 232 | |
| 240 | |
| 250 | |
| 257 | |
| 260 | |
| 270 | |
| 280 | |
| 300 | |
| 320 | |
| 330 | |
| 340 | |
| 350 | |
| 360 | |
| 380 | |
| 390 | |
| 400 | |
| 450 | |
| 470 | |
| 475 | |
| 480 | |
| 500 | |
| 520 | |
| 550 | |
| 560 | |
| 600 | |
| 620 | |
| 625 | |
| 650 | |
| 700 | |
| 706 | |
| 715 | |
| 720 | |
| 730 | |
| 750 | |
| 800 | |
| 810 | |
| 820 | |
| 825 | |
| 850 | |
| 860 | |
| 870 | |
| 900 | |
| 950 | |
| 960 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1344 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1675 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 1980 | |
| 2000 | |
| 2034 | |
| 2077 | |
| 2100 | |
| 2200 | |
| 2202 | |
| 2300 | |
| 2308 | |
| 2400 | |
| 2500 | |
| 2560 | |
| 2592 | |
| 2600 | |
| 2625 | |
| 2730 | |
| 2750 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3100 | |
| 3163 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3310 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3855 | |
| 4000 | |
| 4110 | |
| 4200 | |
| 4250 | |
| 4500 | |
| 4520 | |
| 4550 | |
| 4600 | |
| 4700 | |
| 4783 | |
| 4870 | |
| 4950 | |
| 5000 | |
| 5200 | |
| 5344 | |
| 5400 | |
| 5460 | |
| 5500 | |
| 5680 | |
| 5757 | |
| 5760 | |
| 6000 | |
| 6100 | |
| 6400 | |
| 6417 | |
| 6500 | |
| 6600 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7284 | |
| 7430 | |
| 7500 | |
| 7528 | |
| 8000 | |
| 8040 | |
| 8100 | |
| 8500 | |
| 8530 | |
| 8539 | |
| 8700 | |
| 8779 | |
| 9000 | |
| 9650 | |
| 9900 | |
| 10000 | |
| 10120 | |
| 10350 | |
| 10560 | |
| 10900 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12300 | |
| 12335 | |
| 13000 | |
| 13200 | |
| 13600 | |
| 14000 | |
| 14875 | |
| 15000 | |
| 15543 | |
| 16000 | |
| 16200 | |
| 16600 | |
| 17000 | |
| 17500 | |
| 17669 | |
| 18000 | |
| 19000 | |
| 19041 | |
| 19060 | |
| 19738 | |
| 20000 | |
| 21300 | |
| 22000 | |
| 22600 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25509 | |
| 25824 | |
| 26000 | |
| 28000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32200 | |
| 33687 | |
| 35000 | |
| 35600 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 38100 | |
| 39500 | |
| 40000 | |
| 45000 | |
| 45790 | |
| 48000 | |
| 50000 | |
| 54000 | |
| 55000 | |
| 56115 | |
| 58000 | |
| 64000 | |
| 67000 | |
| 70800 | |
| 72000 | |
| 80000 | |
| 86000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 99000 | |
| 100000 | |
| 138000 | |
| 158576 | |
| 180000 | |
| 208000 | |
| 265000 | |
| 295000 | |
| 300000 | |
| 302000 | |
| 360000 | |
| 800000 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.