Household Income and Expenditure Survey 2009-2010
Kingdom of Eswatini, 2009 - 2010
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
52182
Downloads
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- 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
HH Rent estimate (rentval2)
Data file: R2_Dwelling
Overview
Valid:
2487
Invalid:
690
Minimum:
0
Maximum:
25000
Type:
Discrete
Decimal:
0
Start:
35
End:
39
Width:
5
Range:
-
Format:
Questions and instructions
Literal question
Estimate the rent the household could pay/receive if rented this dwelling or one exactly like it to another person?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 8 | |
| 10 | |
| 15 | |
| 20 | |
| 25 | |
| 26 | |
| 28 | |
| 30 | |
| 40 | |
| 50 | |
| 60 | |
| 64 | |
| 70 | |
| 80 | |
| 85 | |
| 87 | |
| 90 | |
| 100 | |
| 110 | |
| 120 | |
| 124 | |
| 140 | |
| 150 | |
| 160 | |
| 170 | |
| 180 | |
| 200 | |
| 208 | |
| 210 | |
| 217 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 262 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 320 | |
| 340 | |
| 350 | |
| 360 | |
| 370 | |
| 380 | |
| 400 | |
| 409 | |
| 430 | |
| 433 | |
| 435 | |
| 450 | |
| 460 | |
| 470 | |
| 480 | |
| 489 | |
| 500 | |
| 510 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 600 | |
| 650 | |
| 660 | |
| 680 | |
| 700 | |
| 750 | |
| 790 | |
| 800 | |
| 820 | |
| 850 | |
| 852 | |
| 900 | |
| 960 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1440 | |
| 1500 | |
| 1580 | |
| 1600 | |
| 1690 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2260 | |
| 2300 | |
| 2400 | |
| 2420 | |
| 2500 | |
| 2600 | |
| 2800 | |
| 3000 | |
| 3320 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4050 | |
| 4200 | |
| 4500 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 8000 | |
| 10000 | |
| 25000 | |
| Sysmiss |
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.