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Ghana - Ghana Living Standard Survey 5: 2005, With Non-Farm Household Enterprise Module
| Reference ID | GHA-GSS-GLSS-2005-v2.0 |
| Year | 2005 - 2006 |
| Country | Ghana |
| Producer(s) | Ghana Statistical Service (GSS) - Office of the President |
| Sponsor(s) | Government of Ghana - GOG - Funding World Bank - WB - Support European Union - EU - Support |
| Metadata |
 Documentation in PDF
|
Created on
Dec 15, 2008
Last modified
Mar 21, 2016
Page views
4934908
- sec0-Survey Informat
ion - sec1-Household Roste
r - sec2a- General Educa
tion - sec2b-Educational Ca
reer - sec2c-Literacy and A
pprenticeship - sec3a-Health Conditi
ons - sec3b- Preventive He
alth and Immunisatio
n - sec3c-Postnatal Care
- sec3d-Fertility-Pren
atal Care - sec3e-Contraceptive
Use and HIV and AIDS - sec3f-Insurance
- sec4a-Activity Statu
s and Charcteristics
of Main Job - sec4b-Characteristic
s of Secondary Occup
ation - sec4c-Underemploymen
t - sec4d-Unemployment
- sec4e-Characteristic
s of Main Occupation - sec4f-Secondary Occu
pation - sec4g-Employment Sea
rch - sec4h-Housekeeping A
ctivities - sec5a-Migration
- sec5b-Domestic and O
utbound Tourism - sec6-Screening Quest
ions for Agriculture - sec69-Screening Ques
tions for Non-farm E
nterprises - sec7-Housing Charact
eristics - secb0- Survey Inform
ation for PartB - secb1-Survey Informa
tion for PartB 2 - secb2-Survey Informa
tion for PartB3 - sec8a1-Agricultural
Assets-Land - sec8a2-Agricultural
Assets-Livestock and
Fishing - sec8a3-Agricultural
Assets-Equipment - sec8b-Farm and Land
Details - sec8c1-Harvest and D
isposal of Crops (st
aple grains) - sec8c2-Harvest and D
isposal of Crops (ro
ots, vegetables) - sec8d-Seasonality of
Sales and Purchases - sec8e-Other Agricult
ural Income - sec8f-Agricultural C
osts and Expenses - sec8g-Processing of
Agricltural Produce - sec8h-Consumption of
Own Produce - sec9a-Non-food Expen
ses (Less frequently
purchased items) - sec9b-Non Food Expen
ses (frequently purc
hased items) - sec9c-Food and Non F
ood Expenses - sec10a-Basic Charact
eristics of Non Farm
Enterprises - sec10b-Employment
- sec10c1-Wage Earning
s-First Enterprise - sec10c2-Wage Earning
s-Second Enterprise - sec10d1-Revenue of E
nterprise (closing s
tock) - sec10d2-Revenue of E
nterprise Engaged in
Wholesale - sec10d3-Revenue of E
nterprise - sec10d4-Preparation
and Sale of Meals - sec10e-Other Revenue
- sec10e1-Other Revenu
e-First Enterprise - sec10e2-Other Revenu
e- Second Enterprise - sec10f1-Expenditure
(opening stocks)-Fir
st Enterprise - sec10f2-Expenditure
(opening stocks)-Sec
ond Enterprise - sec10g1-Other Expend
iture-First Enterpri
se - sec10g2-Other Expend
iture- Second Enterp
rise - sec10h1-Assets of Fi
rst Enterprise - sec10h2-Assets of Se
cond Enterprise - sec10j-Net Income of
Enterprise - sec11a-Transfer Paym
ents made by Househo
lds - sec11b-Transfer Paym
ents Received by Hou
sehold - sec11c-Miscellaneous
Income - sec11d-Miscellaneous
Outgoings - sec12a-Credit
- sec12b-Assets and Du
rable Goods - sec12c-Savings
- com-sec0-Community I
nformation - com-sec1-Demographic
Information - com-sec21-Economy an
d Infrastructure 1 - com-sec22-Economy an
d Infrastructure 2 - com-sec23-Economy an
d Infrastructure 3 - com-sec31-Education
1 - com-sec32-Education
2 - com-sec33-Education
3 - com-sec41-Health 1
- com-sec42-Health 2
- com-sec43-Health 3
- com-sec51-Agricultur
e 1 - com-sec52-Agricultur
e 2
where is the neares ... located
(cs4q7)
File: com-sec42-Health 2
File: com-sec42-Health 2
Overview
Type:
Discrete Format: character Width: 20 | Valid cases: 2403 Invalid: 0 |
Questions and instructions
Literal question
Where is the nearest ... located?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 3 TOWN | 1 |  0.0%
| |
| ABAMKROM | 1 | 0.0%
| |
| ABEASE | 2 | 0.1%
| |
| ABENASE | 1 | 0.0%
| |
| ABENASO | 1 | 0.0%
| |
| ABOABO | 4 | 0.2%
| |
| ABOFOUR | 6 | 0.2%
| |
| ABOR | 4 | 0.2%
| |
| ABRIKESU | 1 | 0.0%
| |
| ABRUA DUNKWA | 5 | 0.2%
| |
| ABRUMASE | 4 | 0.2%
| |
| ABUAKWA | 5 | 0.2%
| |
| ABUAKWA KUMASI | 1 | 0.0%
| |
| ABURA | 2 | 0.1%
| |
| ABURA DUNKWA | 9 | 0.4%
| |
| ADA | 1 | 0.0%
| |
| ADA FOAH | 4 | 0.2%
| |
| ADA JUNC. | 1 | 0.0%
| |
| ADA JUNCTION | 10 | 0.4%
| |
| ADA JUNCTION. | 1 | 0.0%
| |
| ADABOYA | 2 | 0.1%
| |
| ADADIEM | 2 | 0.1%
| |
| ADAKLU WAYA | 6 | 0.2%
| |
| ADANSI PRASO | 3 | 0.1%
| |
| ADAWUKWA | 1 | 0.0%
| |
| ADEISO | 3 | 0.1%
| |
| ADIBO | 6 | 0.2%
| |
| ADIDOME | 8 | 0.3%
| |
| ADIDWAN | 3 | 0.1%
| |
| ADISADEL | 1 | 0.0%
| |
| ADOAGYIRI | 6 | 0.2%
| |
| ADOAGYRI | 6 | 0.2%
| |
| ADUBIA | 1 | 0.0%
| |
| AFLAO | 14 | 0.6%
| |
| AFRANCHO | 1 | 0.0%
| |
| AFUKU | 1 | 0.0%
| |
| AGBOZUME | 1 | 0.0%
| |
| AGOGO | 1 | 0.0%
| |
| AGONA | 1 | 0.0%
| |
| AGROYESUM | 4 | 0.2%
| |
| AHENKRO | 2 | 0.1%
| |
| AHOMAHOMASO | 1 | 0.0%
| |
| AHOMAHONASO | 1 | 0.0%
| |
| AHOMAMU | 1 | 0.0%
| |
| AHOMAMU. | 1 | 0.0%
| |
| AHOMANU | 2 | 0.1%
| |
| AHOTORKUNUA | 2 | 0.1%
| |
| AIYINASE | 2 | 0.1%
| |
| AJUMAKO | 4 | 0.2%
| |
| AJUMAKO ASSASAN | 1 | 0.0%
| |
| AKATSI | 8 | 0.3%
| |
| AKAYONGA | 1 | 0.0%
| |
| AKONKYE | 1 | 0.0%
| |
| AKORABO | 4 | 0.2%
| |
| AKORLEY | 1 | 0.0%
| |
| AKOSOMBO | 11 | 0.5%
| |
| AKRODIE | 3 | 0.1%
| |
| AKROKERI | 3 | 0.1%
| |
| AKROSO | 2 | 0.1%
| |
| AKWAPIM MAMPONG | 1 | 0.0%
| |
| AKWATIA | 3 | 0.1%
| |
| AM0AMO | 1 | 0.0%
| |
| AMASAMAN | 5 | 0.2%
| |
| ANLOGA | 3 | 0.1%
| |
| ANNIANKWANTA | 1 | 0.0%
| |
| ANUM | 14 | 0.6%
| |
| ANWEA FUTU | 1 | 0.0%
| |
| ANWIANKWANTA | 1 | 0.0%
| |
| ANYABONI | 3 | 0.1%
| |
| ANYINAM | 3 | 0.1%
| |
| APEDWA | 3 | 0.1%
| |
| APESIKA | 2 | 0.1%
| |
| ASAFO | 6 | 0.2%
| |
| ASAMAN | 1 | 0.0%
| |
| ASAMANKESE | 8 | 0.3%
| |
| ASANTEKWA | 1 | 0.0%
| |
| ASARE KROM | 1 | 0.0%
| |
| ASASETRE | 2 | 0.1%
| |
| ASAWINSO | 5 | 0.2%
| |
| ASEBU | 2 | 0.1%
| |
| ASEMNYINAA KROM | 1 | 0.0%
| |
| ASESEWA | 22 | 0.9%
| |
| ASHIAMAN | 2 | 0.1%
| |
| ASIKUMA | 2 | 0.1%
| |
| ASONOMASO | 2 | 0.1%
| |
| ASOUM | 1 | 0.0%
| |
| ASSIN | 1 | 0.0%
| |
| ASSIN ATONSU | 1 | 0.0%
| |
| ASSIN DARMANG | 1 | 0.0%
| |
| ASSIN EDUBIASE | 1 | 0.0%
| |
| ASSIN FOSU | 7 | 0.3%
| |
| ASSIN MANSO | 3 | 0.1%
| |
| ASUADIE | 1 | 0.0%
| |
| ASUANSI | 6 | 0.2%
| |
| ASUASO | 1 | 0.0%
| |
| ASUODWENE | 1 | 0.0%
| |
| ASUTUARE | 1 | 0.0%
| |
| ATAASI NKWANTA | 1 | 0.0%
| |
| ATEBUBU | 14 | 0.6%
| |
| ATIBIE | 6 | 0.2%
| |
| ATOBIASE | 4 | 0.2%
| |
| ATUBA | 1 | 0.0%
| |
| AVE DAKPA | 6 | 0.2%
| |
| AVIENYA | 4 | 0.2%
| |
| AXIM | 6 | 0.2%
| |
| AZIZANKPE | 1 | 0.0%
| |
| Abakrampa | 3 | 0.1%
| |
| Abura Dunkwa | 5 | 0.2%
| |
| Adubia | 3 | 0.1%
| |
| Agroyesum | 2 | 0.1%
| |
| Aiywasi | 1 | 0.0%
| |
| Apowa | 5 | 0.2%
| |
| Asankragwa | 6 | 0.2%
| |
| Asuansi | 4 | 0.2%
| |
| Axim | 9 | 0.4%
| |
| B. ZONGO | 1 | 0.0%
| |
| BAA | 3 | 0.1%
| |
| BAANO NO1 | 1 | 0.0%
| |
| BAGZUA | 3 | 0.1%
| |
| BAKPA | 1 | 0.0%
| |
| BAKPABA | 1 | 0.0%
| |
| BAKUA | 3 | 0.1%
| |
| BAMBONAGILI | 4 | 0.2%
| |
| BASYONDE | 3 | 0.1%
| |
| BATTOR HOSP. | 1 | 0.0%
| |
| BAUJIASE | 1 | 0.0%
| |
| BAWJIASE | 1 | 0.0%
| |
| BAWKU | 37 | 1.5%
| |
| BEBU | 2 | 0.1%
| |
| BECHEM | 17 | 0.7%
| |
| BEGORO | 11 | 0.5%
| |
| BEKWAI | 8 | 0.3%
| |
| BEPOASE | 4 | 0.2%
| |
| BEREKUM | 5 | 0.2%
| |
| BIBDE | 1 | 0.0%
| |
| BIBIANI | 4 | 0.2%
| |
| BIMBILA | 1 | 0.0%
| |
| BIMBILLA | 4 | 0.2%
| |
| BINABA | 1 | 0.0%
| |
| BINDURI | 1 | 0.0%
| |
| BIREM | 2 | 0.1%
| |
| BIRIM | 2 | 0.1%
| |
| BIRIWA | 1 | 0.0%
| |
| BOGOSO | 6 | 0.2%
| |
| BOLE | 6 | 0.2%
| |
| BOLGA | 33 | 1.4%
| |
| BOMPATA | 2 | 0.1%
| |
| BONGO | 4 | 0.2%
| |
| BOSCOS | 1 | 0.0%
| |
| BOSO | 4 | 0.2%
| |
| BOTI | 2 | 0.1%
| |
| BRAKWA | 6 | 0.2%
| |
| BREMA ASIKUMA | 1 | 0.0%
| |
| BREMAN ASIKUMA | 1 | 0.0%
| |
| BREMAN ESIKUMA | 1 | 0.0%
| |
| BUGUBELLE | 2 | 0.1%
| |
| BULINGA | 2 | 0.1%
| |
| BULPELSI | 2 | 0.1%
| |
| BUNKPRUGU | 3 | 0.1%
| |
| Bamboi | 9 | 0.4%
| |
| Bawku | 1 | 0.0%
| |
| Bellenga | 1 | 0.0%
| |
| Billaw | 2 | 0.1%
| |
| Bole | 5 | 0.2%
| |
| Bolga | 10 | 0.4%
| |
| Bonyere | 2 | 0.1%
| |
| Bulenga | 1 | 0.0%
| |
| Busunu | 3 | 0.1%
| |
| CAPE COAST | 14 | 0.6%
| |
| CHAMBA | 4 | 0.2%
| |
| CHIANA | 2 | 0.1%
| |
| CHIRAA | 5 | 0.2%
| |
| CHOGU | 1 | 0.0%
| |
| CHOGU YAPALSI | 1 | 0.0%
| |
| CHUCHULIGA | 4 | 0.2%
| |
| Cape Coast | 1 | 0.0%
| |
| DABALA | 1 | 0.0%
| |
| DAFIAMA | 1 | 0.0%
| |
| DAMANGO | 3 | 0.1%
| |
| DAMANKO | 2 | 0.1%
| |
| DAMBAI | 6 | 0.2%
| |
| DAMPONG | 1 | 0.0%
| |
| DARMANG | 1 | 0.0%
| |
| DAWIA | 1 | 0.0%
| |
| DEBISO | 1 | 0.0%
| |
| DENU | 8 | 0.3%
| |
| DISONAAYILI | 1 | 0.0%
| |
| DOME | 1 | 0.0%
| |
| DOMINASE | 3 | 0.1%
| |
| DOMINASI | 1 | 0.0%
| |
| DON'T KNOW | 1 | 0.0%
| |
| DONKORKROM | 45 | 1.9%
| |
| DORMA AHENKRO | 4 | 0.2%
| |
| DORMAA | 22 | 0.9%
| |
| DORMAA AGOGO | 1 | 0.0%
| |
| DORMM AGOGO | 1 | 0.0%
| |
| DORMMAA | 1 | 0.0%
| |
| DROBO | 11 | 0.5%
| |
| DUAYAW NKWANTA | 2 | 0.1%
| |
| DUNKWA ON OFFIN | 6 | 0.2%
| |
| DUULOGO | 1 | 0.0%
| |
| DZEMENI | 4 | 0.2%
| |
| DZODZE | 7 | 0.3%
| |
| D\EAST HOSP | 1 | 0.0%
| |
| Damango | 2 | 0.1%
| |
| Dixcove | 2 | 0.1%
| |
| Duong | 3 | 0.1%
| |
| EFFIDUASE | 5 | 0.2%
| |
| EFFINKWANTA HOSPITAL | 2 | 0.1%
| |
| EHIAMANKYENE | 4 | 0.2%
| |
| EIKWE | 4 | 0.2%
| |
| EJISU | 1 | 0.0%
| |
| EJURA | 4 | 0.2%
| |
| ELLOUKROM | 1 | 0.0%
| |
| ENCHI | 18 | 0.7%
| |
| ESSAM | 3 | 0.1%
| |
| ESSIEKYEM | 1 | 0.0%
| |
| ESUSHE | 1 | 0.0%
| |
| Ejusi | 1 | 0.0%
| |
| Elkwe | 6 | 0.2%
| |
| Enchi | 6 | 0.2%
| |
| Esiama | 1 | 0.0%
| |
| Essiama | 1 | 0.0%
| |
| FAITHKOPE | 3 | 0.1%
| |
| FAITHKOPE DIST HOSP | 2 | 0.1%
| |
| FENASO | 1 | 0.0%
| |
| FIAN | 11 | 0.5%
| |
| FORIFORI | 1 | 0.0%
| |
| FUMBIS | 1 | 0.0%
| |
| FUMBISI | 2 | 0.1%
| |
| FUMESU | 1 | 0.0%
| |
| Fian | 1 | 0.0%
| |
| Fielimuo | 1 | 0.0%
| |
| GALOSUTA | 2 | 0.1%
| |
| GARU | 7 | 0.3%
| |
| GOASO | 18 | 0.7%
| |
| GOMOA NYERESI | 2 | 0.1%
| |
| GOMOA OBUASI | 2 | 0.1%
| |
| GOMOA OGUAA | 2 | 0.1%
| |
| GULLU | 6 | 0.2%
| |
| GURUUGU | 3 | 0.1%
| |
| GUSHIEGU | 4 | 0.2%
| |
| GUUM DABOT | 1 | 0.0%
| |
| GWOLLU | 1 | 0.0%
| |
| GYAHA | 1 | 0.0%
| |
| Gallu | 1 | 0.0%
| |
| Gullu | 2 | 0.1%
| |
| Gulluo | 1 | 0.0%
| |
| HALF ASSINI | 18 | 0.7%
| |
| HEMANG | 6 | 0.2%
| |
| HNIDIEM | 2 | 0.1%
| |
| HO | 7 | 0.3%
| |
| HOHOE | 14 | 0.6%
| |
| HWEHWE | 4 | 0.2%
| |
| HWIDIEM | 6 | 0.2%
| |
| Hamile | 1 | 0.0%
| |
| ISSA | 2 | 0.1%
| |
| JACHIE | 6 | 0.2%
| |
| JACOBU | 12 | 0.5%
| |
| JEMA | 4 | 0.2%
| |
| JINJINI | 4 | 0.2%
| |
| JUAPONG | 12 | 0.5%
| |
| JUASO | 10 | 0.4%
| |
| Jirapa | 6 | 0.2%
| |
| Juaben | 5 | 0.2%
| |
| KADE | 14 | 0.6%
| |
| KANDIGU | 1 | 0.0%
| |
| KASEH | 1 | 0.0%
| |
| KASOA | 9 | 0.4%
| |
| KATAPOR | 1 | 0.0%
| |
| KEJEWU BATOR | 1 | 0.0%
| |
| KETA | 2 | 0.1%
| |
| KIBI | 6 | 0.2%
| |
| KINTAMPO | 22 | 0.9%
| |
| KITARE | 4 | 0.2%
| |
| KLIKOR | 3 | 0.1%
| |
| KLO AGOGO | 14 | 0.6%
| |
| KOBRESO | 1 | 0.0%
| |
| KOBROSO | 1 | 0.0%
| |
| KODIE | 4 | 0.2%
| |
| KOFORIDUA | 19 | 0.8%
| |
| KOJO KROM | 1 | 0.0%
| |
| KOJO KUMI | 1 | 0.0%
| |
| KOKOBEN | 1 | 0.0%
| |
| KONGO | 1 | 0.0%
| |
| KONONGO | 9 | 0.4%
| |
| KONONKGO | 1 | 0.0%
| |
| KOPRASO | 2 | 0.1%
| |
| KOTWEA | 1 | 0.0%
| |
| KPALBA | 1 | 0.0%
| |
| KPANDAI | 3 | 0.1%
| |
| KPANDO GAJA | 1 | 0.0%
| |
| KPANDO KONDA | 8 | 0.3%
| |
| KPASSA | 6 | 0.2%
| |
| KPATIA | 1 | 0.0%
| |
| KRAACHIE | 1 | 0.0%
| |
| KRACHE | 2 | 0.1%
| |
| KRACHI | 7 | 0.3%
| |
| KRACHIE | 6 | 0.2%
| |
| KRODUA | 1 | 0.0%
| |
| KROFOFROM | 1 | 0.0%
| |
| KUKU | 1 | 0.0%
| |
| KUKUOM | 6 | 0.2%
| |
| KULFUO | 1 | 0.0%
| |
| KULMASA | 1 | 0.0%
| |
| KUMAIS | 1 | 0.0%
| |
| KUMASI | 10 | 0.4%
| |
| KUMBUNGU | 2 | 0.1%
| |
| KUMDI | 7 | 0.3%
| |
| KUNFAABIALA | 2 | 0.1%
| |
| KUNTANESE | 2 | 0.1%
| |
| KWADUO KROM | 1 | 0.0%
| |
| KWAHU NSABA | 3 | 0.1%
| |
| KWAHU PRASO | 10 | 0.4%
| |
| KWAME DANSO | 2 | 0.1%
| |
| KWANWOMA | 3 | 0.1%
| |
| KWESI KOMFO | 1 | 0.0%
| |
| KYEREMANSE | 2 | 0.1%
| |
| Kaleo | 14 | 0.6%
| |
| Karaga | 1 | 0.0%
| |
| Ketuo | 2 | 0.1%
| |
| Ko | 6 | 0.2%
| |
| Konongo | 1 | 0.0%
| |
| Kumasi | 2 | 0.1%
| |
| Kwesimitsin | 2 | 0.1%
| |
| Kyerepoaso | 1 | 0.0%
| |
| LANJA | 3 | 0.1%
| |
| LASSIA | 2 | 0.1%
| |
| LAWRA | 5 | 0.2%
| |
| LONDON BRIDGE | 1 | 0.0%
| |
| Lassia | 2 | 0.1%
| |
| Lawra | 5 | 0.2%
| |
| Lingbin | 7 | 0.3%
| |
| MAKANGO | 4 | 0.2%
| |
| MAMAPONG | 1 | 0.0%
| |
| MAMPONG | 18 | 0.7%
| |
| MAMPPMG | 1 | 0.0%
| |
| MANDO | 1 | 0.0%
| |
| MANKESSIM | 13 | 0.5%
| |
| MANKRANSO | 7 | 0.3%
| |
| MANKRANSO. | 1 | 0.0%
| |
| MANKRON | 1 | 0.0%
| |
| MAPONTENG | 1 | 0.0%
| |
| MATE | 1 | 0.0%
| |
| MAYERA | 1 | 0.0%
| |
| MIASO | 1 | 0.0%
| |
| MOAMPONG AKWAPIM | 1 | 0.0%
| |
| MOGLAA | 1 | 0.0%
| |
| MOLE | 1 | 0.0%
| |
| MOREE | 1 | 0.0%
| |
| MOREE JUNCTION | 1 | 0.0%
| |
| MPOHOR | 7 | 0.3%
| |
| MUKWAA | 3 | 0.1%
| |
| Mankessim | 1 | 0.0%
| |
| Miamia | 1 | 0.0%
| |
| Mpaha | 3 | 0.1%
| |
| NALERIGI | 1 | 0.0%
| |
| NALERIGU | 9 | 0.4%
| |
| NANDOM | 6 | 0.2%
| |
| NANGODI | 3 | 0.1%
| |
| NANKES | 1 | 0.0%
| |
| NANKESE | 1 | 0.0%
| |
| NANTON | 5 | 0.2%
| |
| NATINGA | 2 | 0.1%
| |
| NAVRONGO | 22 | 0.9%
| |
| NAYIRE | 2 | 0.1%
| |
| NEW ABIREM | 7 | 0.3%
| |
| NEW EDUBIASE | 19 | 0.8%
| |
| NEWLOGRO | 3 | 0.1%
| |
| NKAWIE | 14 | 0.6%
| |
| NKAWKAW | 34 | 1.4%
| |
| NKENKENSU | 3 | 0.1%
| |
| NKETEPA | 1 | 0.0%
| |
| NKORANZA | 4 | 0.2%
| |
| NKRANKWANTA | 8 | 0.3%
| |
| NKRUMAH | 2 | 0.1%
| |
| NKURAKAN | 1 | 0.0%
| |
| NKWAKAW | 1 | 0.0%
| |
| NKWANTA | 22 | 0.9%
| |
| NKWANTA KESE | 1 | 0.0%
| |
| NKYEREKYERE | 5 | 0.2%
| |
| NO2 | 1 | 0.0%
| |
| NSAWAM | 4 | 0.2%
| |
| NSIEN | 1 | 0.0%
| |
| NSUTA | 2 | 0.1%
| |
| NSUTAPON | 2 | 0.1%
| |
| NTONABOMA | 1 | 0.0%
| |
| NTUMKUM | 1 | 0.0%
| |
| NYAAKROM | 3 | 0.1%
| |
| NYAMORANSA | 1 | 0.0%
| |
| NYANKUMASI | 2 | 0.1%
| |
| NYANPENASE | 3 | 0.1%
| |
| NYARKROM | 2 | 0.1%
| |
| NYINAHIN | 9 | 0.4%
| |
| Naabule. | 1 | 0.0%
| |
| Nalerigu | 2 | 0.1%
| |
| Nandom | 11 | 0.5%
| |
| Nanville | 4 | 0.2%
| |
| New Amanful | 1 | 0.0%
| |
| Nkranza | 3 | 0.1%
| |
| Nyoli | 1 | 0.0%
| |
| OBOADAKA | 4 | 0.2%
| |
| OBOGU | 2 | 0.1%
| |
| OBUASI | 18 | 0.7%
| |
| OBUASO | 1 | 0.0%
| |
| OCHISO | 1 | 0.0%
| |
| ODA | 13 | 0.5%
| |
| ODA NKWANTA | 1 | 0.0%
| |
| ODUMASE | 1 | 0.0%
| |
| OFANKOR | 2 | 0.1%
| |
| OFFINSO | 8 | 0.3%
| |
| OFFINSO MAASE | 5 | 0.2%
| |
| OKONYA | 1 | 0.0%
| |
| OLD ABIREM | 1 | 0.0%
| |
| OLD NINGO | 3 | 0.1%
| |
| OSINO | 3 | 0.1%
| |
| OTSENKROM | 1 | 0.0%
| |
| OWORAM | 1 | 0.0%
| |
| PAPASE | 3 | 0.1%
| |
| PEKI | 19 | 0.8%
| |
| PEPESU | 4 | 0.2%
| |
| PIIRI | 4 | 0.2%
| |
| POKUASE | 6 | 0.2%
| |
| POKUKROM | 1 | 0.0%
| |
| PRAMSO | 1 | 0.0%
| |
| PRASO | 1 | 0.0%
| |
| PRESTEA | 6 | 0.2%
| |
| Pisgigu | 1 | 0.0%
| |
| Pishigu | 2 | 0.1%
| |
| SAAKROM | 3 | 0.1%
| |
| SABOBA | 5 | 0.2%
| |
| SAKOGU | 4 | 0.2%
| |
| SALAGA | 17 | 0.7%
| |
| SALTPOND | 2 | 0.1%
| |
| SAMBUU | 2 | 0.1%
| |
| SAMPA | 7 | 0.3%
| |
| SANDEMA | 11 | 0.5%
| |
| SANDMA | 6 | 0.2%
| |
| SANKORE | 3 | 0.1%
| |
| SANTASE | 2 | 0.1%
| |
| SANTASI | 1 | 0.0%
| |
| SAVELUGU | 2 | 0.1%
| |
| SAWLA | 8 | 0.3%
| |
| SEFWI ASAFO | 6 | 0.2%
| |
| SEFWI ASAWINSO | 8 | 0.3%
| |
| SEGE CLINIC | 3 | 0.1%
| |
| SEGE JUNC | 2 | 0.1%
| |
| SEIKROM | 1 | 0.0%
| |
| SEIKWA | 4 | 0.2%
| |
| SEKETIA | 2 | 0.1%
| |
| SEKO | 5 | 0.2%
| |
| SEMANHYIA | 6 | 0.2%
| |
| SEMENHYIA | 3 | 0.1%
| |
| SIKAMAN | 2 | 0.1%
| |
| SIRIGO | 2 | 0.1%
| |
| SOE | 1 | 0.0%
| |
| SOGA HOSP. | 1 | 0.0%
| |
| SOGAKOPE | 4 | 0.2%
| |
| SOGAKOPE HOSP. | 4 | 0.2%
| |
| SOMOE | 2 | 0.1%
| |
| SUHUM | 17 | 0.7%
| |
| SUKWA | 2 | 0.1%
| |
| SUNKWA | 2 | 0.1%
| |
| SUNYAN | 2 | 0.1%
| |
| SUNYANI | 2 | 0.1%
| |
| SUPOMU | 1 | 0.0%
| |
| SUPOMU DUNKWA | 3 | 0.1%
| |
| SWEDRU | 18 | 0.7%
| |
| Samreboi | 6 | 0.2%
| |
| Sankpala | 2 | 0.1%
| |
| Savelugu | 3 | 0.1%
| |
| TAFO | 6 | 0.2%
| |
| TAKINTA | 1 | 0.0%
| |
| TAKORADI | 5 | 0.2%
| |
| TAMALE | 25 | 1.0%
| |
| TANOSO | 3 | 0.1%
| |
| TARKWA | 2 | 0.1%
| |
| TEASE | 11 | 0.5%
| |
| TECHIMAN | 2 | 0.1%
| |
| TEKYIMAN | 1 | 0.0%
| |
| TEMA | 1 | 0.0%
| |
| TEMA HOSPITAL | 1 | 0.0%
| |
| TEPA | 3 | 0.1%
| |
| TERNGUANYA | 1 | 0.0%
| |
| TERNUANYA | 1 | 0.0%
| |
| TILLI | 2 | 0.1%
| |
| TONGO | 3 | 0.1%
| |
| TOTA | 4 | 0.2%
| |
| TREKUME | 1 | 0.0%
| |
| TSITO | 4 | 0.2%
| |
| TUMU | 12 | 0.5%
| |
| TWIFO PRASO | 5 | 0.2%
| |
| TWIFU PRASO | 3 | 0.1%
| |
| Tamale | 19 | 0.8%
| |
| Tarkwa | 3 | 0.1%
| |
| Tikoboi | 1 | 0.0%
| |
| UCC | 4 | 0.2%
| |
| WA | 39 | 1.6%
| |
| WALEMBELLE | 2 | 0.1%
| |
| WALEWALE | 9 | 0.4%
| |
| WAPUU | 4 | 0.2%
| |
| WARISHIGU | 1 | 0.0%
| |
| WASSA AKROPONG | 9 | 0.4%
| |
| WAWASE | 2 | 0.1%
| |
| WECHAW | 1 | 0.0%
| |
| WENCHI | 2 | 0.1%
| |
| WENCHI HOSPITAL | 1 | 0.0%
| |
| WIAGA | 7 | 0.3%
| |
| WIAMOASE | 2 | 0.1%
| |
| WIAWSO | 26 | 1.1%
| |
| WINGO KOLOGU | 1 | 0.0%
| |
| WINNEBA | 5 | 0.2%
| |
| WORAWORA | 2 | 0.1%
| |
| WORIYANGA | 7 | 0.3%
| |
| WORYANGA | 1 | 0.0%
| |
| WUDIDI | 3 | 0.1%
| |
| Wa | 15 | 0.6%
| |
| Wuchiki | 2 | 0.1%
| |
| YAMA | 2 | 0.1%
| |
| YARIGA-2 | 2 | 0.1%
| |
| YAWMATWA | 2 | 0.1%
| |
| YEBDI | 1 | 0.0%
| |
| YEJI | 29 | 1.2%
| |
| YENDI | 18 | 0.7%
| |
| Yagah | 4 | 0.2%
| |
| Yeji | 4 | 0.2%
| |
| ZABRAMA | 2 | 0.1%
| |
| ZABZUGU | 4 | 0.2%
| |
| ZEBILA | 1 | 0.0%
| |
| ZEBILLA | 9 | 0.4%
| |
| ZOKO | 1 | 0.0%
| |
| ZUARUNGU | 3 | 0.1%
| |
| abakrampa | 2 | 0.1%
| |
| abura | 4 | 0.2%
| |
| abura dunkwa | 3 | 0.1%
| |
| adumasi | 1 | 0.0%
| |
| agona | 1 | 0.0%
| |
| akenkensu | 8 | 0.3%
| |
| akropong | 4 | 0.2%
| |
| asuansi | 2 | 0.1%
| |
| asuma nkwanta | 1 | 0.0%
| |
| bagzua | 2 | 0.1%
| |
| bawku | 3 | 0.1%
| |
| bolga | 2 | 0.1%
| |
| bunsuya | 1 | 0.0%
| |
| busie | 1 | 0.0%
| |
| busunya | 3 | 0.1%
| |
| cape coast | 6 | 0.2%
| |
| diaso | 4 | 0.2%
| |
| diccove | 1 | 0.0%
| |
| dixcove | 6 | 0.2%
| |
| dominase | 1 | 0.0%
| |
| domione | 2 | 0.1%
| |
| dunkwa | 8 | 0.3%
| |
| fain | 1 | 0.0%
| |
| fian | 2 | 0.1%
| |
| fosu | 14 | 0.6%
| |
| gumbo | 1 | 0.0%
| |
| half assini | 5 | 0.2%
| |
| han | 3 | 0.1%
| |
| jirapa | 7 | 0.3%
| |
| nkroful | 1 | 0.0%
| |
| odumasi | 1 | 0.0%
| |
| pishigu | 2 | 0.1%
| |
| prasa | 7 | 0.3%
| |
| princess | 2 | 0.1%
| |
| sabila | 2 | 0.1%
| |
| sapeliga | 3 | 0.1%
| |
| savelugu | 1 | 0.0%
| |
| takoradi | 1 | 0.0%
| |
| techiman | 1 | 0.0%
| |
| techman | 1 | 0.0%
| |
| tuobodom | 5 | 0.2%
| |
| wa | 3 | 0.1%
| |
| zebilla | 2 | 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.