Household Income and Expenditure Survey 2009-2010
Kingdom of Eswatini, 2009 - 2010
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
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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
car insurance (carinsu)
Data file: R14_Wage_deduc
Overview
Valid:
2794
Invalid:
696
Type:
Discrete
Decimal:
0
Start:
37
End:
45
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
How much do you spend each month on car insurance ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 40 | |
| 46 | |
| 50 | |
| 58 | |
| 60 | |
| 67 | |
| 90 | |
| 96 | |
| 104 | |
| 109 | |
| 114 | |
| 116 | |
| 135 | |
| 137 | |
| 150 | |
| 151 | |
| 159 | |
| 182 | |
| 191 | |
| 197 | |
| 200 | |
| 212 | |
| 214 | |
| 235 | |
| 240 | |
| 245 | |
| 250 | |
| 280 | |
| 282 | |
| 298 | |
| 300 | |
| 314 | |
| 336 | |
| 340 | |
| 350 | |
| 356 | |
| 386 | |
| 391 | |
| 406 | |
| 435 | |
| 440 | |
| 450 | |
| 456 | |
| 478 | |
| 500 | |
| 520 | |
| 544 | |
| 560 | |
| 580 | |
| 598 | |
| 600 | |
| 680 | |
| 700 | |
| 750 | |
| 800 | |
| 900 | |
| 1000 | |
| 1083 | |
| 1108 | |
| 1110 | |
| 1200 | |
| 1320 | |
| 1460 | |
| 1500 | |
| 1583 | |
| 1600 | |
| 1800 | |
| 2215 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2733 | |
| 3500 | |
| 3680 | |
| 4000 | |
| 4771 | |
| 6000 | |
| 12000 | |
| 999999997 | refused to answer |
| 999999998 | don't know |
| 100001 | .K |
| 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.