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    Home / Central Data Catalog / POPULATION_DYNAMICS_AND_URBANIZATION_IN_AFRICA / APHRC-NCSS2-2014-V1.0 / variable [V8231]
Population_Dynamics_and_Urbanization_in_Africa

Nairobi Cross-sectional Slums Survey (NCSS), 2012, 2nd Survey

KENYA, 2012
Population Dynamics and Urbanization in Africa (PDAU)
African Population & Health Research Center
Last modified January 05, 2016 Page views 3524593 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Data files
  • NCSS 2012
    HOUSEHOLD
    CHARACTERISTICS
    ANALYTICAL FILE
  • NCSS 2012
    HOUSEHOLD
    MORTALITY
    EXPERIENCE
    ANALYTICAL FILE
  • NCSS 2012
    HOUSEHOLD
    SCHEDULE
    ANALYTICAL FILE
  • NCSS 2012
    HOUSEHOLD
    WEIGHT & HEIGHT
    UNDER-5
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    BIRTH HISTORY
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    CALENDAR
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    CHARACTERISTICS
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    IMMUNIZATION
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    MATERNAL
    MORTALITY
    ANALYTICAL FILE
  • NCSS 2012 WOMEN
    PREGNANCY
    ANALYTICAL FILE
  • NCSS 2012 MEN
    CHARACTERISTICS
    ANALYTICAL FILE
  • NCSS 2012
    WOMEN+MEN
    CHARACTERISTICS
    ANALYTICAL FILE
CSV JSON

household's total received from credit (hhd_q131)

Data file: NCSS 2012 HOUSEHOLD CHARACTERISTICS ANALYTICAL FILE

Overview

vald 5428
invd 61
Interval discrete
Decimal 0
Range 100 - 9999995

Questions and instructions

Literal question
In total how much money has this household received in form of credit?
Categories
Value Category Cases
100 1
0%
200 3
0.1%
500 4
0.1%
999 2
0%
999.99 1
0%
1000 7
0.1%
1300 1
0%
1500 4
0.1%
1800 2
0%
2000 23
0.4%
2500 3
0.1%
2600 1
0%
3000 17
0.3%
3200 1
0%
3300 1
0%
3500 4
0.1%
3800 1
0%
4000 7
0.1%
4300 1
0%
4500 1
0%
5000 28
0.5%
6000 4
0.1%
7000 3
0.1%
7400 1
0%
7500 1
0%
8000 5
0.1%
9000 3
0.1%
10000 39
0.7%
11000 4
0.1%
11500 1
0%
12000 7
0.1%
14000 5
0.1%
15000 10
0.2%
16000 1
0%
18000 1
0%
19000 1
0%
20000 46
0.8%
22000 4
0.1%
24000 1
0%
25000 8
0.1%
26000 2
0%
28000 2
0%
30000 31
0.6%
32000 2
0%
33000 1
0%
33500 1
0%
35000 5
0.1%
36000 3
0.1%
40000 13
0.2%
45000 1
0%
48000 1
0%
49999 1
0%
50000 33
0.6%
57627 1
0%
60000 12
0.2%
65000 1
0%
66000 1
0%
70000 9
0.2%
75000 1
0%
80000 8
0.1%
84000 1
0%
90000 1
0%
100000 20
0.4%
110000 1
0%
120000 1
0%
121000 1
0%
150000 5
0.1%
151000 1
0%
170000 1
0%
180000 1
0%
200000 6
0.1%
210000 1
0%
250000 1
0%
280000 1
0%
300000 1
0%
400000 1
0%
999997 refusal 1
0%
999998 don't know 4
0.1%
999999 not applicable 4869
89.7%
1200000 1
0%
9999995 missing:impute 122
2.2%
Sysmiss 61
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.
Question pretext
na
Question post text
na
Interviewer instructions
These questions aim to collect information on household's access to credit from any source including both formal lending institutions such as banks and informal institutions such as merry- go-rounds (rotating savings schemes). We start by asking general questions on members' access to credit in 127; if the response is yes, we ask whether any member has received credit from any source in the last 12 months; if the response is yes, we ask where the credit was obtained from; the amount the household received as credit in the past 12 months and the reasons why the credit was obtained. Q133 is a hypothetical question that seeks to find out the household's ability to raise money e.g. in an emergency and in 134 we would like to find out what sources people turn to for such emergencies.

Description

Text
The total amount (KES) that household has received from credit
Universe
All households in which members have access to some form of credit according to hhd_q128 and in which a member(s) has received credit from any source according to hhd_q129
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