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    Home / Central Data Catalog / LBR_2014_HIES_V01_M / variable [F43]
central

Household Income and Expenditure Survey 2014-2015

Liberia, 2014 - 2015
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Reference ID
LBR_2014_HIES_v01_M
Producer(s)
Liberia Institute of Statistics and Geo-Information Services
Metadata
DDI/XML JSON
Created on
Sep 12, 2024
Last modified
Oct 08, 2024
Page views
13368
Downloads
222
  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • HH_A
  • 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_K3
  • HH_L1
  • HH_L2
  • HH_M
  • HH_N1
  • HH_N2
  • HH_N3
  • HH_O
  • HH_P1
  • HH_P2
  • HH_Q
  • HH_R
  • HH_S
  • HH_CONSUMPTION

Contribution in LD given by [NAME] to group per period (hh_n_14_1)

Data file: HH_N3

Overview

Valid: 1202
Invalid: 0
Minimum: 0
Maximum: 25000
Type: Discrete
Decimal: 0
Start: 25
End: 29
Width: 5
Range: 0 - 25000
Format: Numeric

Questions and instructions

Literal question
How much does [NAME] give each time? - Liberian dollar
Categories
Value Category Cases
0 90
7.5%
10 1
0.1%
20 9
0.7%
25 5
0.4%
30 2
0.2%
40 3
0.2%
50 46
3.8%
60 4
0.3%
75 6
0.5%
80 1
0.1%
90 1
0.1%
100 132
11%
110 1
0.1%
125 3
0.2%
130 1
0.1%
135 1
0.1%
140 1
0.1%
150 25
2.1%
160 1
0.1%
175 1
0.1%
190 1
0.1%
200 107
8.9%
210 2
0.2%
220 4
0.3%
250 44
3.7%
260 3
0.2%
270 1
0.1%
280 1
0.1%
300 51
4.2%
330 2
0.2%
350 14
1.2%
370 1
0.1%
375 1
0.1%
400 24
2%
450 6
0.5%
475 1
0.1%
500 156
13%
520 1
0.1%
550 3
0.2%
600 22
1.8%
620 1
0.1%
650 1
0.1%
700 9
0.7%
750 2
0.2%
770 2
0.2%
775 1
0.1%
800 11
0.9%
840 1
0.1%
880 1
0.1%
900 1
0.1%
1000 144
12%
1050 1
0.1%
1100 3
0.2%
1175 1
0.1%
1200 5
0.4%
1250 3
0.2%
1300 2
0.2%
1400 2
0.2%
1500 21
1.7%
1530 3
0.2%
1575 1
0.1%
1600 2
0.2%
1650 1
0.1%
1700 1
0.1%
1800 3
0.2%
2000 53
4.4%
2040 1
0.1%
2100 3
0.2%
2200 2
0.2%
2250 1
0.1%
2300 3
0.2%
2400 4
0.3%
2500 17
1.4%
2550 1
0.1%
2600 1
0.1%
2750 1
0.1%
3000 33
2.7%
3100 1
0.1%
3500 3
0.2%
4000 13
1.1%
4500 2
0.2%
5000 33
2.7%
5500 2
0.2%
6000 4
0.3%
6500 1
0.1%
7000 2
0.2%
7250 1
0.1%
7500 1
0.1%
8000 2
0.2%
9000 2
0.2%
10000 8
0.7%
11900 1
0.1%
12000 1
0.1%
15000 1
0.1%
24000 1
0.1%
25000 1
0.1%
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.
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