Household Income and Expenditure Survey 2016-2017
Liberia, 2016 - 2017
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Reference ID
LBR_2016-2017_HIES-W3_v01_EN_M_v01_A_OCS
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
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Metadata
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
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- Data files
- AG_01_&_FILT
- AG_02
- AG_03
- AG_04
- AG_5A_1
- AG_5A_2
- AG_5A_3
- AG_5A_4
- AG_5B_1
- AG_5B_2
- AG_5B_3
- AG_5B_4
- AG_06
- AG_07
- AG_08
- AG_09
- AG_10A_1
- AG_10A_2
- AG_10B
- AG_11
- AG_12
- ALLHH_A_weighted
- HH_A&FILT
- HH_B
- HH_C
- HH_D
- HH_E
- HH_F
- HH_G
- HH_H
- HH_I1
- HH_I2
- HH_J1
- HH_J2
- HH_K1
- HH_K2
- HH_L1A
- HH_L1B
- HH_L2
- HH_M
- HH_N1
- HH_N2
- HH_N3
- HH_O
- HH_P1
- HH_P2
- HH_Q
- HH_R1
- HH_S
- HH_R
In which town/village was [NAME] born? -Country/county code (hh_b_21_2)
Data file: HH_B
Overview
Valid:
14615
Invalid:
21693
Type:
Discrete
Decimal:
0
Start:
106
End:
108
Width:
3
Range:
3 - 114
Format:
Numeric
Questions and instructions
Literal question
In which town/village was [NAME] born? - Country/county code?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 3 | Bomi | 635 |
4.3%
|
| 6 | Bong | 1487 |
10.2%
|
| 9 | Grand Bassa | 1073 |
7.3%
|
| 12 | Grand Cape Mount | 590 |
4%
|
| 15 | Grand Gedeh | 593 |
4.1%
|
| 18 | Grand Kru | 478 |
3.3%
|
| 21 | Lofa | 953 |
6.5%
|
| 24 | Margibi | 879 |
6%
|
| 27 | Maryland | 986 |
6.7%
|
| 30 | Montserrado | 2608 |
17.8%
|
| 33 | Nimba | 1068 |
7.3%
|
| 36 | River Cess | 484 |
3.3%
|
| 39 | Sinoe | 707 |
4.8%
|
| 42 | River Gee | 633 |
4.3%
|
| 45 | Gbarpolu | 443 |
3%
|
| 99 | 1 |
0%
|
|
| 101 | USA | 6 |
0%
|
| 102 | UK | 0 |
0%
|
| 103 | AUSTRALIA | 0 |
0%
|
| 104 | GUINEA | 283 |
1.9%
|
| 105 | SIERRA LEONE | 244 |
1.7%
|
| 106 | GHANA | 65 |
0.4%
|
| 107 | NIGERIA | 22 |
0.2%
|
| 108 | IVORY COAST | 355 |
2.4%
|
| 109 | SOUTH AFRICA | 0 |
0%
|
| 110 | LEBANON | 0 |
0%
|
| 111 | INDIA | 2 |
0%
|
| 112 | CHINA | 0 |
0%
|
| 113 | KENYA | 0 |
0%
|
| 114 | OTHER, SPECIFY | 20 |
0.1%
|
| Sysmiss | 21693 |
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.