Ghana Socioeconomic Panel Survey 2009-2010, Wave 1
Ghana, 2009 - 2010
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Reference ID
gha-isser-gseps-2009-2010-v1
Producer(s)
Institute of Statistical, Social and Economic Research
Metadata
Created on
Nov 10, 2021
Last modified
Dec 09, 2023
Page views
161993
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- Data files
- eas
- key_hhld_info
- s1d
- s1ei
- s1ei0
- s1eii
- s1eii0
- s1eiii
- s1eiii0
- s1fi
- s1fii
- s1fiii
- s1gi
- s1gi0
- s1gii
- s1gii0
- s2a
- s2a0
- s2b
- s2b0
- s3ai
- s3ai0
- s3aii
- s3aii0
- s3aiii
- s3bi
- s3bi0
- s3bii
- s3bii0
- s3biii
- s3biii0
- s3biv
- s3biv0
- s3bv
- s3bv0
- s4ai
- s4aii
- s4aiii
- s4aiv
- s4aix1
- s4aix2
- s4aix3
- s4aix4
- s4aix5
- s4aix6
- s4aix7
- s4aix8
- s4av1
- s4av2
- s4avi1
- s4avi2
- s4avi10
- s4avi20
- s4avii
- s4aviii1
- s4aviii2
- s4aviii10
- s4aviii20
- s4bi
- s4bi0
- s4bii
- s4bii0
- s4h_agsection_panel
- s5a0
- s5ai
- s5aii
- s5bi
- s5bii
- s5biii
- s5biv
- s5c1
- s5c2
- s5c3
- s5d1
- s5d2
- s5d3
- s5e1
- s5e2
- s5e3
- s5f
- s6a
- s6b
- s6c
- s6d
- s6e
- s6f
- s6g
- s7a
- s7b
- s8a
- s8b
- s9a
- s9b1
- s9b2
- s9c
- s9d
- s9e
- s10ai
- s10aii
- s10aiii
- s10aiv
- s10av
- s10avi
- s10b
- s10c
- s10c0
- s10di
- s10dii
- s10diii
- s11a
- s11a1
- s11b
- s11c
- s11d
- s12ai
- s12aii
- s40
- s70
- s80
- s90
- s100
- s980
- sec0
Q16.3.11 Name of other urban area 3 [Name] travelled to (s1gii_16_311)
Data file: s1gii
Overview
Valid:
99
Invalid:
0
Type:
Discrete
Width:
20
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABETIFI | 1 |
1%
|
|
| ABOFO | 1 |
1%
|
|
| ABURA-DUNKWA | 1 |
1%
|
|
| ABURI | 2 |
2%
|
|
| ADIMADIM | 2 |
2%
|
|
| AGONA SWEDRU | 1 |
1%
|
|
| AHAFO | 1 |
1%
|
|
| AJUMAKO | 1 |
1%
|
|
| AKEKENSU | 1 |
1%
|
|
| AKORABO | 1 |
1%
|
|
| AKYEM ODA | 1 |
1%
|
|
| ALAVANYO | 1 |
1%
|
|
| ANKASIE FIE | 1 |
1%
|
|
| ANTOA | 1 |
1%
|
|
| APAM | 1 |
1%
|
|
| ASAKRAGUA | 1 |
1%
|
|
| ASAMAH | 1 |
1%
|
|
| ASAMAN | 1 |
1%
|
|
| ASAMANKESE | 2 |
2%
|
|
| ASESEWA | 1 |
1%
|
|
| ATEBUBU | 3 |
3%
|
|
| ATIAVI | 1 |
1%
|
|
| BANSO | 1 |
1%
|
|
| BATOR | 1 |
1%
|
|
| BAWKU | 1 |
1%
|
|
| BEPOSO | 1 |
1%
|
|
| BEREKUM | 3 |
3%
|
|
| BIBIANI | 2 |
2%
|
|
| BOAMA DUMASE | 1 |
1%
|
|
| BOLE BAMBOI | 1 |
1%
|
|
| BOLI | 1 |
1%
|
|
| BOTOKU | 1 |
1%
|
|
| CHIRAA | 1 |
1%
|
|
| DABOASI | 1 |
1%
|
|
| DOMINASE | 1 |
1%
|
|
| DORMAA | 1 |
1%
|
|
| EKYEANO | 1 |
1%
|
|
| ELUBO | 1 |
1%
|
|
| ENCHI | 1 |
1%
|
|
| ENYINSU | 1 |
1%
|
|
| GOMOA DAHOM | 1 |
1%
|
|
| GYEDU | 2 |
2%
|
|
| HUNI VALLEY | 1 |
1%
|
|
| JEMA | 1 |
1%
|
|
| JIRAPA | 1 |
1%
|
|
| KADE | 1 |
1%
|
|
| KADEWASO | 2 |
2%
|
|
| KAWAMPE | 1 |
1%
|
|
| KINKENSO | 1 |
1%
|
|
| KINTAMPO | 2 |
2%
|
|
| KRABONSU | 1 |
1%
|
|
| KRACHI | 1 |
1%
|
|
| KROBO WINANG | 1 |
1%
|
|
| KUTE BUEM | 1 |
1%
|
|
| KYEBI | 1 |
1%
|
|
| MAMANSO | 1 |
1%
|
|
| MANKRASO | 1 |
1%
|
|
| MEPE | 1 |
1%
|
|
| NADOWLI | 1 |
1%
|
|
| NKAWKAW | 1 |
1%
|
|
| NKORANZA BODOM | 1 |
1%
|
|
| NSAWAM | 1 |
1%
|
|
| OBUASI | 2 |
2%
|
|
| PAGA | 1 |
1%
|
|
| PEVI | 1 |
1%
|
|
| PRESTEA | 1 |
1%
|
|
| PRESTIA | 2 |
2%
|
|
| SALAGA | 1 |
1%
|
|
| SALGA | 1 |
1%
|
|
| SAMPA | 1 |
1%
|
|
| SEBRINI | 1 |
1%
|
|
| SEFWI ASAWINSO | 1 |
1%
|
|
| SENCHI | 1 |
1%
|
|
| SUHUM | 1 |
1%
|
|
| SWEDRU | 1 |
1%
|
|
| TARKWA | 1 |
1%
|
|
| TECHIMAN | 2 |
2%
|
|
| TEMA | 4 |
4%
|
|
| TREDE | 1 |
1%
|
|
| WALE WALE | 1 |
1%
|
|
| WENCHI | 1 |
1%
|
|
| ZEZERA | 1 |
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.