Household Income and Expenditure Survey 2009-2010
Kingdom of Eswatini, 2009 - 2010
Created on
May 19, 2014
Last modified
Mar 29, 2019
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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
130h "wages - cash" (bizwage)
Data file: R15_Enterprises
Overview
Valid:
877
Invalid:
2
Type:
Discrete
Decimal:
0
Start:
104
End:
112
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
For each business, on average how much do you spend each month on wages - cash (last month) ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 30 | |
| 35 | |
| 40 | |
| 50 | |
| 60 | |
| 80 | |
| 100 | |
| 150 | |
| 200 | |
| 210 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 600 | |
| 650 | |
| 700 | |
| 750 | |
| 800 | |
| 850 | |
| 900 | |
| 1000 | |
| 1200 | |
| 1249 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1580 | |
| 1600 | |
| 1700 | |
| 1850 | |
| 2000 | |
| 2100 | |
| 2175 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3300 | |
| 3500 | |
| 3700 | |
| 4000 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 5000 | |
| 5200 | |
| 5400 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7400 | |
| 8000 | |
| 8400 | |
| 9000 | |
| 9800 | |
| 10000 | |
| 12000 | |
| 15000 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 21000 | |
| 22000 | |
| 24000 | |
| 82000 | |
| 100000 | |
| 999999997 | refused to answer |
| 999999998 | don't know |
| 1000001 | .K |
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.