Namibia Census of Agriculture 2013/2014 - Communal Sector
Third round
Namibia, 2014
Get Microdata
Reference ID
NAM-NSA-NCA-CN-2013-2014-v02
Producer(s)
Namibia Statistics Agency, Ministry of Agriculture, Water and Forestry
Metadata
Created on
Aug 05, 2024
Last modified
Nov 26, 2024
Page views
166325
Downloads
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- Data files
- HOUSEHOLD_NAMIBIA_cor_w_tab2_finvrai_16_2_2017_
- Land_Use_NAMIBIA_cor_w_tab_14_3_17
- section_4_cor_w_tab
- section_5_cor_w_tab
- section_6_cor_w_tab
- section_7_cor_w
- section_8_cor_w
- section_8_cor_w_tab
- section_10_3_10_cor_w_tab
- section_10_11_15_cor_w
- section_10_16_18_cor_w
- section_11_cor_w
- section_12_cor_w
- Section_13_1_to_8_cor_w_tab
- Section_13_9_to_13_cor_w
- Section_13_14_to_19_cor_w
- Section_13_20_to_28_cor_w
- Section_14_1_6_cor_w
- Section_14_1_7_12_cor_w
- section_15_cor_w_tab
- section_16_cor_w
- section_17_cor_w_tab
- section_18_1_cor_w_t1801
- section_18_1_cor_w_tab
- section_18_2_cor_w_tab
- section_18_3_cor_w_tab
- section_18_4_cor_w_tab
- section_18_5_cor_w_tab
- section_18_6_cor_w_tab
- section_18_7_cor_w_tab
- section_18_8_cor_w_tab
- section_18_9_cor_w_tab
- section_18_11_cor_w_tab
- section_18_12_cor_w
- section_18_12_cor_w_tab
Constituency code (constituency_code1)
Data file: Land_Use_NAMIBIA_cor_w_tab_14_3_17
Overview
Valid:
10610
Invalid:
0
Type:
Discrete
Width:
19
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Aminius | 218 |
2.1%
|
|
| Anamulenge | 51 |
0.5%
|
|
| Aranos | 40 |
0.4%
|
|
| Berseba | 470 |
4.4%
|
|
| Daures | 292 |
2.8%
|
|
| Daweb | 41 |
0.4%
|
|
| Eenhana | 41 |
0.4%
|
|
| Elim | 61 |
0.6%
|
|
| Endola | 105 |
1%
|
|
| Engela | 111 |
1%
|
|
| Engodi | 239 |
2.3%
|
|
| Epembe | 78 |
0.7%
|
|
| Epukiro | 285 |
2.7%
|
|
| Epupa | 66 |
0.6%
|
|
| Etayi | 367 |
3.5%
|
|
| Judea Lyabboloma | 24 |
0.2%
|
|
| Kabbe North | 79 |
0.7%
|
|
| Kabbe South | 39 |
0.4%
|
|
| Kamandjab | 2 |
0%
|
|
| Kapako | 169 |
1.6%
|
|
| Karasburg East | 160 |
1.5%
|
|
| Katima Rural | 171 |
1.6%
|
|
| Khorixas | 3 |
0%
|
|
| Kongola | 49 |
0.5%
|
|
| Linyanti | 30 |
0.3%
|
|
| Mankumpi | 39 |
0.4%
|
|
| Mariental Rural | 92 |
0.9%
|
|
| Mariental Urban | 3 |
0%
|
|
| Mashare | 247 |
2.3%
|
|
| Mpungu | 236 |
2.2%
|
|
| Mukwe | 303 |
2.9%
|
|
| Musese | 242 |
2.3%
|
|
| Ncamagoro | 135 |
1.3%
|
|
| Ncuncuni | 187 |
1.8%
|
|
| Ndiyona | 74 |
0.7%
|
|
| Ndonga Linena | 34 |
0.3%
|
|
| Nehale lya Mpingana | 187 |
1.8%
|
|
| Nkurenkuru | 78 |
0.7%
|
|
| Ogongo | 65 |
0.6%
|
|
| Ohangwena | 57 |
0.5%
|
|
| Okahao | 43 |
0.4%
|
|
| Okakarara | 143 |
1.3%
|
|
| Okaku | 68 |
0.6%
|
|
| Okalongo | 21 |
0.2%
|
|
| Okankolo | 126 |
1.2%
|
|
| Okarukambe | 28 |
0.3%
|
|
| Okatana | 249 |
2.3%
|
|
| Okatyali | 101 |
1%
|
|
| Okongo | 177 |
1.7%
|
|
| Olukonda | 116 |
1.1%
|
|
| Ompundja | 32 |
0.3%
|
|
| Omulonga | 56 |
0.5%
|
|
| Omundaungilo | 22 |
0.2%
|
|
| Omuntele | 83 |
0.8%
|
|
| Omuthiyagwiipundi | 310 |
2.9%
|
|
| Onayena | 252 |
2.4%
|
|
| Ondangwa Rural | 103 |
1%
|
|
| Ondangwa Urban | 11 |
0.1%
|
|
| Ondobe | 217 |
2%
|
|
| Onesi | 103 |
1%
|
|
| Ongenga | 119 |
1.1%
|
|
| Ongwediva | 131 |
1.2%
|
|
| Oniipa | 455 |
4.3%
|
|
| Onyaanya | 253 |
2.4%
|
|
| Opuwo Rural | 99 |
0.9%
|
|
| Opuwo Urban | 131 |
1.2%
|
|
| Oshakat West | 73 |
0.7%
|
|
| Oshakati East | 11 |
0.1%
|
|
| Oshikango | 81 |
0.8%
|
|
| Oshikuku | 68 |
0.6%
|
|
| Oshikunde | 53 |
0.5%
|
|
| Otamanzi | 65 |
0.6%
|
|
| Otavi | 11 |
0.1%
|
|
| Otjinene | 106 |
1%
|
|
| Otjombinde | 116 |
1.1%
|
|
| Outapi | 124 |
1.2%
|
|
| Rehoboth East Urban | 112 |
1.1%
|
|
| Rehoboth Rural | 66 |
0.6%
|
|
| Rehoboth West Urban | 71 |
0.7%
|
|
| Ruakana | 84 |
0.8%
|
|
| Rundu Rural | 48 |
0.5%
|
|
| Rundu Urban | 39 |
0.4%
|
|
| Sesfontein | 10 |
0.1%
|
|
| Sibbinda | 72 |
0.7%
|
|
| Tondoro | 114 |
1.1%
|
|
| Tsandi | 328 |
3.1%
|
|
| Tsumkwe | 145 |
1.4%
|
|
| Uukwiyu | 44 |
0.4%
|
|
| Uuvudhiya | 66 |
0.6%
|
|
| Walvis Bay Rural | 4 |
0%
|
|
| Windhoek Rural | 80 |
0.8%
|
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.