CGAP Smallholder Household Survey 2016, Building the Evidence Base on the Agricultural and Financial Lives of Smallholder Households
Tanzania, 2016
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Dec 05, 2019
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Dec 05, 2019
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D14. Main language spoken in the household (D14)
Data file: CGAP Smallholder Household Survey_TZA 2015_Household_19 May 16
Overview
Valid:
2993
Type:
Discrete
Start:
377
End:
482
Width:
106
Range:
-
Format:
character
Questions and instructions
Literal question
What is the main language spoken in the household?
SINGLE ANSWER._______________ (98 for Don't know)
SINGLE ANSWER._______________ (98 for Don't know)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Chaga | 1 |
0%
|
|
| KIANGANZA | 6 |
0.2%
|
|
| KIARUSHA | 6 |
0.2%
|
|
| KIBENA | 4 |
0.1%
|
|
| KICHAGA | 18 |
0.6%
|
|
| KICHASI | 1 |
0%
|
|
| KIFIPA | 14 |
0.5%
|
|
| KIGEHE | 1 |
0%
|
|
| KIGINDO | 1 |
0%
|
|
| KIGOGO | 36 |
1.2%
|
|
| KIGOMA | 1 |
0%
|
|
| KIHA | 2 |
0.1%
|
|
| KIHAYA | 48 |
1.6%
|
|
| KIHAYA. | 3 |
0.1%
|
|
| KIHAYO | 1 |
0%
|
|
| KIHEE | 3 |
0.1%
|
|
| KIHEHE | 21 |
0.7%
|
|
| KIHEHE NA KISWAHILI | 1 |
0%
|
|
| KIIKIZU | 2 |
0.1%
|
|
| KIILAKI | 10 |
0.3%
|
|
| KIIRAKI | 21 |
0.7%
|
|
| KIJALUO | 1 |
0%
|
|
| KIJARUO | 2 |
0.1%
|
|
| KIJITA | 6 |
0.2%
|
|
| KIKAGULU | 6 |
0.2%
|
|
| KIKAGURU | 12 |
0.4%
|
|
| KIKALA | 7 |
0.2%
|
|
| KIKAMBA | 8 |
0.3%
|
|
| KIKARA | 1 |
0%
|
|
| KIKEREWE | 1 |
0%
|
|
| KIKULYA | 4 |
0.1%
|
|
| KIKWELE | 2 |
0.1%
|
|
| KILALE | 1 |
0%
|
|
| KILONGO | 1 |
0%
|
|
| KILUNDI | 4 |
0.1%
|
|
| KIMACHAME | 2 |
0.1%
|
|
| KIMAKONDE | 10 |
0.3%
|
|
| KIMAKUWA | 3 |
0.1%
|
|
| KIMAMONDE | 3 |
0.1%
|
|
| KIMASAI | 3 |
0.1%
|
|
| KIMATAMBWE | 1 |
0%
|
|
| KIMATENGO | 5 |
0.2%
|
|
| KIMBULU | 1 |
0%
|
|
| KIMERU | 4 |
0.1%
|
|
| KINDALI | 1 |
0%
|
|
| KINDAMBA | 8 |
0.3%
|
|
| KINDARI | 2 |
0.1%
|
|
| KINDENDEULE | 2 |
0.1%
|
|
| KINDWEWE | 2 |
0.1%
|
|
| KINGONI | 1 |
0%
|
|
| KINGUU | 7 |
0.2%
|
|
| KINYAKYUSA | 13 |
0.4%
|
|
| KINYAMANGA | 1 |
0%
|
|
| KINYAMBO | 9 |
0.3%
|
|
| KINYAMWANGA | 4 |
0.1%
|
|
| KINYAMWEZI | 18 |
0.6%
|
|
| KINYANWANGA | 1 |
0%
|
|
| KINYATURU | 1 |
0%
|
|
| KINYIHA | 1 |
0%
|
|
| KINYIKA | 3 |
0.1%
|
|
| KINYILAMBA | 1 |
0%
|
|
| KIPARE | 27 |
0.9%
|
|
| KIRANGI | 7 |
0.2%
|
|
| KIROMBO | 1 |
0%
|
|
| KIRONGO | 1 |
0%
|
|
| KISAFA | 1 |
0%
|
|
| KISAFWA | 7 |
0.2%
|
|
| KISAMBAA | 10 |
0.3%
|
|
| KISANDAWE | 4 |
0.1%
|
|
| KISHUBI | 4 |
0.1%
|
|
| KISIA | 1 |
0%
|
|
| KISUBI | 7 |
0.2%
|
|
| KISUKUMA | 158 |
5.3%
|
|
| KISandawe | 1 |
0%
|
|
| KITUSI | 4 |
0.1%
|
|
| KIWAHILI | 2 |
0.1%
|
|
| KIYAO | 1 |
0%
|
|
| KIYHA | 1 |
0%
|
|
| KIZALAM | 1 |
0%
|
|
| KIZARAMO | 2 |
0.1%
|
|
| KIZIGUA | 17 |
0.6%
|
|
| KIZINZA | 7 |
0.2%
|
|
| KIZUMBWA | 1 |
0%
|
|
| KIsukuma | 1 |
0%
|
|
| KSWAHILI | 1 |
0%
|
|
| KULUNDI | 1 |
0%
|
|
| KiNYAKYUSA | 1 |
0%
|
|
| Kiangaza | 4 |
0.1%
|
|
| Kiarusha | 3 |
0.1%
|
|
| Kibena | 2 |
0.1%
|
|
| Kifipa | 19 |
0.6%
|
|
| Kigogo | 15 |
0.5%
|
|
| Kiha | 18 |
0.6%
|
|
| Kihangaza | 6 |
0.2%
|
|
| Kihaya | 21 |
0.7%
|
|
| Kihehe | 4 |
0.1%
|
|
| Kihutu | 1 |
0%
|
|
| Kiiarusha | 1 |
0%
|
|
| Kiikizu | 6 |
0.2%
|
|
| Kiikizu. | 2 |
0.1%
|
|
| Kiikoma | 7 |
0.2%
|
|
| Kiiraki | 6 |
0.2%
|
|
| Kijaruo | 5 |
0.2%
|
|
| Kijita | 4 |
0.1%
|
|
| Kikinga | 4 |
0.1%
|
|
| Kikulya | 1 |
0%
|
|
| Kikurya | 7 |
0.2%
|
|
| Kimagoma | 1 |
0%
|
|
| Kimakonde | 14 |
0.5%
|
|
| Kimakuwa | 2 |
0.1%
|
|
| Kimbulu | 3 |
0.1%
|
|
| Kinatta | 1 |
0%
|
|
| Kindali | 4 |
0.1%
|
|
| Kinyakyusa | 3 |
0.1%
|
|
| Kinyambo | 10 |
0.3%
|
|
| Kinyamwanga | 8 |
0.3%
|
|
| Kinyamwezi | 17 |
0.6%
|
|
| Kinyatulu | 2 |
0.1%
|
|
| Kinyaturu | 2 |
0.1%
|
|
| Kinyia | 4 |
0.1%
|
|
| Kinyiha | 7 |
0.2%
|
|
| Kinyika | 6 |
0.2%
|
|
| Kinyilamba | 5 |
0.2%
|
|
| Kinyiramaba | 1 |
0%
|
|
| Kinyiramba | 2 |
0.1%
|
|
| Kipare | 1 |
0%
|
|
| Kirangi | 1 |
0%
|
|
| Kisafa | 2 |
0.1%
|
|
| Kisafwa | 5 |
0.2%
|
|
| Kishubi | 4 |
0.1%
|
|
| Kisubi | 2 |
0.1%
|
|
| Kisukuma | 65 |
2.2%
|
|
| Kiutu | 5 |
0.2%
|
|
| Kiutu na Kiswahili | 1 |
0%
|
|
| Kiyao | 3 |
0.1%
|
|
| Kizigua | 1 |
0%
|
|
| Kizigua na kiswahili | 1 |
0%
|
|
| Kulwa Msalaba | 1 |
0%
|
|
| Swahili | 1534 |
51.3%
|
|
| kiangaza | 1 |
0%
|
|
| kiarusha | 3 |
0.1%
|
|
| kiawahili | 1 |
0%
|
|
| kichaga | 5 |
0.2%
|
|
| kichagaa | 2 |
0.1%
|
|
| kidena | 1 |
0%
|
|
| kifipa | 5 |
0.2%
|
|
| kigigo | 1 |
0%
|
|
| kigogo | 23 |
0.8%
|
|
| kiha | 30 |
1%
|
|
| kihaa | 27 |
0.9%
|
|
| kihaaw | 1 |
0%
|
|
| kihaya | 21 |
0.7%
|
|
| kihutu | 2 |
0.1%
|
|
| kiilaki | 3 |
0.1%
|
|
| kiiraki | 4 |
0.1%
|
|
| kiiraq | 1 |
0%
|
|
| kiirau | 1 |
0%
|
|
| kijaruo | 7 |
0.2%
|
|
| kijita | 8 |
0.3%
|
|
| kikagulu | 4 |
0.1%
|
|
| kikala | 5 |
0.2%
|
|
| kikara | 1 |
0%
|
|
| kikelewe | 2 |
0.1%
|
|
| kikiloba | 1 |
0%
|
|
| kikizu | 9 |
0.3%
|
|
| kikizuu | 7 |
0.2%
|
|
| kikoma | 2 |
0.1%
|
|
| kikulya | 1 |
0%
|
|
| kikurya | 9 |
0.3%
|
|
| kilamja | 1 |
0%
|
|
| kilugha(kibena) | 1 |
0%
|
|
| kilundi | 1 |
0%
|
|
| kimakonde | 16 |
0.5%
|
|
| kimakua | 2 |
0.1%
|
|
| kimakuwa | 2 |
0.1%
|
|
| kimasai | 13 |
0.4%
|
|
| kimbulu | 2 |
0.1%
|
|
| kimburu | 4 |
0.1%
|
|
| kimeru | 1 |
0%
|
|
| kindali | 7 |
0.2%
|
|
| kindamba | 3 |
0.1%
|
|
| kindengeleko | 1 |
0%
|
|
| kinguu | 1 |
0%
|
|
| kinyakyusa | 9 |
0.3%
|
|
| kinyakyusya | 2 |
0.1%
|
|
| kinyambo | 8 |
0.3%
|
|
| kinyambo. | 1 |
0%
|
|
| kinyamwanga | 1 |
0%
|
|
| kinyamwezi | 7 |
0.2%
|
|
| kinyaqisa | 1 |
0%
|
|
| kinyatulu | 3 |
0.1%
|
|
| kinyaturu | 3 |
0.1%
|
|
| kinyiha | 2 |
0.1%
|
|
| kinyika | 2 |
0.1%
|
|
| kinyilamba | 5 |
0.2%
|
|
| kinyiramba | 4 |
0.1%
|
|
| kinzinza | 1 |
0%
|
|
| kipare | 13 |
0.4%
|
|
| kiparee | 2 |
0.1%
|
|
| kipimbwe | 2 |
0.1%
|
|
| kirangi | 2 |
0.1%
|
|
| kirongo | 1 |
0%
|
|
| kisafwa | 1 |
0%
|
|
| kisambaa | 16 |
0.5%
|
|
| kisandawe | 4 |
0.1%
|
|
| kishubi | 2 |
0.1%
|
|
| kishwahili | 2 |
0.1%
|
|
| kisubi | 3 |
0.1%
|
|
| kisukuma | 146 |
4.9%
|
|
| kisukuma,mwanacheyo ameshindwa kufuzu dodoso kwa kuwa hajui kuzungumza lugha ya kiswahili pia ni mzee sana | 1 |
0%
|
|
| kisumbwa | 1 |
0%
|
|
| kiyao | 1 |
0%
|
|
| kizigua | 16 |
0.5%
|
|
| kizinza | 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.