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
Page views
41917
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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
From which town/village did [NAME] move? - Country/county code (hh_b_19_2)
Data file: HH_B
Overview
Valid:
14604
Invalid:
21704
Type:
Discrete
Decimal:
0
Start:
77
End:
79
Width:
3
Range:
3 - 114
Format:
Numeric
Questions and instructions
Literal question
Which town/village/community/country did [NAME] move from - Country/county code?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 3 | Bomi | 512 |
3.5%
|
| 6 | Bong | 1138 |
7.8%
|
| 9 | Grand Bassa | 927 |
6.3%
|
| 12 | Grand Cape Mount | 483 |
3.3%
|
| 15 | Grand Gedeh | 597 |
4.1%
|
| 18 | Grand Kru | 345 |
2.4%
|
| 21 | Lofa | 625 |
4.3%
|
| 24 | Margibi | 1019 |
7%
|
| 27 | Maryland | 953 |
6.5%
|
| 30 | Montserrado | 4213 |
28.8%
|
| 33 | Nimba | 834 |
5.7%
|
| 36 | River Cess | 413 |
2.8%
|
| 39 | Sinoe | 611 |
4.2%
|
| 42 | River Gee | 553 |
3.8%
|
| 45 | Gbarpolu | 343 |
2.3%
|
| 101 | USA | 8 |
0.1%
|
| 102 | UK | 0 |
0%
|
| 103 | AUSTRALIA | 0 |
0%
|
| 104 | GUINEA | 253 |
1.7%
|
| 105 | SIERRA LEONE | 228 |
1.6%
|
| 106 | GHANA | 76 |
0.5%
|
| 107 | NIGERIA | 11 |
0.1%
|
| 108 | IVORY COAST | 443 |
3%
|
| 109 | SOUTH AFRICA | 1 |
0%
|
| 110 | LEBANON | 0 |
0%
|
| 111 | INDIA | 1 |
0%
|
| 112 | CHINA | 0 |
0%
|
| 113 | KENYA | 0 |
0%
|
| 114 | OTHER, SPECIFY | 17 |
0.1%
|
| Sysmiss | 21704 |
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.