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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2009_GHS_V01_EN_M_V01_A_OCS / variable [F156]
agricultural-surveys

General Household Survey, 2009

Nigeria, 2010
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Reference ID
NGA_2009_GHS_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 30, 2021
Last modified
Mar 30, 2021
Page views
12243
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Part K
    Household
    Expenditure
  • Part D Female
    Contraceptive
    Prevelance
  • Part A
    Identification
  • Part B Persons
    in the
    Household
  • Part C Usual
    Residence
    Absent
  • Part E Births
    in the Last 12
    Months
  • Part F National
    Programme on
    Immunization
  • Part G Child
    Nutrition
    Breast Feeding
    Module
  • Part H Deaths
    in the Last 12
    Months
  • Part I Health
    for all Persons
    in the
    Household
  • Part J
    Household
    Enterprise

Rent paid (Rent)

Data file: Part A Identification

Overview

Valid: 16817
Invalid: 0
Type: Discrete
Start: 38
End: 43
Width: 6
Range: -
Format: character

Questions and instructions

Literal question
The monthly rent being paid in naira for household.
Categories
Value Category Cases
000 1
0%
01500 1
0%
0500 1
0%
0750 1
0%
09000 1
0%
100 176
1%
1000 2175
12.9%
10000 150
0.9%
100000 6
0%
1001 4
0%
1006 6
0%
1007 1
0%
1008 1
0%
1009 1
0%
101 1
0%
1010 3
0%
1050 2
0%
10500 4
0%
106 3
0%
1060 4
0%
10800 1
0%
109 1
0%
1090 1
0%
1100 56
0.3%
11000 11
0.1%
1150 2
0%
11506 1
0%
1200 620
3.7%
12000 47
0.3%
120000 4
0%
1201 2
0%
1210 1
0%
1230 1
0%
1250 7
0%
12500 10
0.1%
1260 2
0%
12800 1
0%
1300 24
0.1%
13000 12
0.1%
1306 1
0%
13300 1
0%
13333 1
0%
1350 1
0%
1400 103
0.6%
14000 8
0%
1420 2
0%
14200 1
0%
1450 1
0%
1460 1
0%
150 34
0.2%
1500 1213
7.2%
15000 62
0.4%
150000 3
0%
1501 6
0%
1505 1
0%
1506 8
0%
1511 1
0%
1550 3
0%
15500 1
0%
1560 4
0%
15600 1
0%
160 2
0%
1600 246
1.5%
16000 20
0.1%
1601 1
0%
1650 2
0%
1660 2
0%
16700 1
0%
1700 15
0.1%
17000 3
0%
1741 1
0%
1750 1
0%
17500 3
0%
1800 126
0.7%
18000 6
0%
1875 1
0%
1900 15
0.1%
200 669
4%
2000 1571
9.3%
20000 42
0.2%
200000 3
0%
2002 1
0%
2006 3
0%
2008 1
0%
201 1
0%
2010 1
0%
205 1
0%
2060 4
0%
2075 1
0%
208 1
0%
2083 2
0%
2094 1
0%
2100 42
0.2%
21000 3
0%
2200 8
0%
2250 5
0%
2300 3
0%
2350 1
0%
2400 120
0.7%
24000 3
0%
24500 1
0%
250 54
0.3%
2500 424
2.5%
25000 30
0.2%
250000 3
0%
2501 1
0%
260 1
0%
2600 12
0.1%
2700 4
0%
27000 1
0%
2800 35
0.2%
2900 4
0%
29000 1
0%
2916 1
0%
300 722
4.3%
3000 942
5.6%
30000 21
0.1%
300000 4
0%
3006 1
0%
3008 1
0%
301 1
0%
3010 2
0%
306 2
0%
3060 1
0%
308 1
0%
3100 2
0%
31000 2
0%
31600 1
0%
3200 16
0.1%
32000 2
0%
3300 1
0%
33000 1
0%
3333 1
0%
3350 1
0%
3400 2
0%
34000 3
0%
350 16
0.1%
3500 123
0.7%
35000 6
0%
350000 2
0%
3560 1
0%
360 1
0%
3600 18
0.1%
36000 2
0%
370 1
0%
3700 1
0%
37000 1
0%
3750 1
0%
37500 4
0%
3800 5
0%
3900 3
0%
3920 1
0%
400 898
5.3%
4000 558
3.3%
40000 6
0%
4001 3
0%
401 1
0%
4011 2
0%
406 1
0%
4100 3
0%
41000 1
0%
4160 1
0%
4166 2
0%
41666 1
0%
420 1
0%
4200 4
0%
42000 1
0%
4400 2
0%
450 21
0.1%
4500 104
0.6%
45000 1
0%
450000 1
0%
4509 1
0%
460 2
0%
4600 4
0%
4655 1
0%
466 1
0%
480 1
0%
4800 9
0.1%
50 29
0.2%
500 1481
8.8%
5000 301
1.8%
50000 8
0%
500000 1
0%
5001 1
0%
5003 1
0%
5006 1
0%
501 4
0%
506 5
0%
5060 1
0%
509 1
0%
510 1
0%
5110 2
0%
5200 1
0%
5400 1
0%
5417 2
0%
550 5
0%
5500 7
0%
560 9
0.1%
5600 2
0%
566 2
0%
5800 1
0%
590 1
0%
5900 1
0%
600 1027
6.1%
6000 286
1.7%
60000 1
0%
601 4
0%
606 3
0%
6060 1
0%
609 1
0%
610 1
0%
6250 1
0%
6300 1
0%
6400 3
0%
650 1
0%
6500 1
0%
660 8
0%
6600 3
0%
6666 1
0%
6700 1
0%
6800 1
0%
700 260
1.5%
7000 71
0.4%
70000 1
0%
705 1
0%
710 1
0%
7200 1
0%
750 27
0.2%
7500 25
0.1%
800 779
4.6%
8000 124
0.7%
80000 3
0%
800000 1
0%
8003 1
0%
8010 1
0%
8300 2
0%
8333 1
0%
8400 1
0%
850 5
0%
8500 5
0%
8600 1
0%
900 385
2.3%
9000 40
0.2%
9001 1
0%
9002 1
0%
901 2
0%
906 1
0%
9060 1
0%
9100 1
0%
9200 1
0%
950 1
0%
9500 3
0%
95000 1
0%
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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