Household Income and Expenditure Survey 2009-2010
Papua New Guinea, 2009 - 2011
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
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- Data files
- HIES_HA0
- HIES_HA1
- HIES_HA2
- HIES_HA3
- HIES_HA4
- HIES_HAS
- HIES_HB0
- HIES_HB1
- HIES_HB2
- HIES_HB3
- HIES_HB4
- HIES_HB5
- HIES_HB5x
- HIES_HB6a
- HIES_HB6b
- HIES_HB6c
- HIES_HB7
- HIES_HB8
- HIES_HB8x
- HIES_HB9
- HIES_HBX
- HIES_K0
- HIES_K1
- HIES_K2
- HIES_K3
- HIES_PC0
- HIES_PC1
- HIES_PC1A1
- HIES_PC1A2
- HIES_PC1B
- HIES_PC1C
- HIES_PC1D
- HIES_PC1E
- HIES_PC2
- HIES_PC3
- HIES_PC4
- HIES_PC5A
- HIES_PC5B
- HIES_PC5C
- HIES_PC6
- HIES_PC6B
- HIES_PC6C
- HIES_PCS
- HIES_PD0
- HIES_PD1
- weights_new
Costs: 03. Raw materials and goods for resale (kina) (bx_03)
Data file: HIES_HBX
Overview
Valid:
521
Invalid:
1
Minimum:
0
Maximum:
1800000
Type:
Discrete
Decimal:
0
Start:
97
End:
106
Width:
10
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | None |
| 10 | |
| 20 | |
| 25 | |
| 30 | |
| 37 | |
| 40 | |
| 50 | |
| 60 | |
| 70 | |
| 72 | |
| 73 | |
| 80 | |
| 97 | |
| 100 | |
| 108 | |
| 110 | |
| 120 | |
| 140 | |
| 142 | |
| 150 | |
| 179 | |
| 187 | |
| 189 | |
| 200 | |
| 220 | |
| 227 | |
| 240 | |
| 250 | |
| 270 | |
| 300 | |
| 302 | |
| 350 | |
| 384 | |
| 400 | |
| 500 | |
| 520 | |
| 600 | |
| 612 | |
| 700 | |
| 720 | |
| 800 | |
| 840 | |
| 880 | |
| 900 | |
| 950 | |
| 1000 | |
| 1200 | |
| 1340 | |
| 1500 | |
| 1810 | |
| 1900 | |
| 2000 | |
| 2116 | |
| 2300 | |
| 2365 | |
| 2400 | |
| 2500 | |
| 2688 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3300 | |
| 3360 | |
| 3400 | |
| 3536 | |
| 3624 | |
| 4000 | |
| 4128 | |
| 4232 | |
| 4330 | |
| 4500 | |
| 4674 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5296 | |
| 6000 | |
| 6600 | |
| 7000 | |
| 8000 | |
| 9600 | |
| 10000 | |
| 10248 | |
| 11440 | |
| 11900 | |
| 12750 | |
| 18600 | |
| 20000 | |
| 20197 | |
| 30000 | |
| 34000 | |
| 36300 | |
| 40000 | |
| 48000 | |
| 50000 | |
| 75000 | |
| 96000 | |
| 100000 | |
| 105000 | |
| 200000 | |
| 364000 | |
| 1800000 | |
| 1000000000 | One thousand million and more |
| 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.