National Panel Survey 2012-2013, Wave 3
Tanzania, 2012 - 2013
Get Microdata
Reference ID
TZA_2012_NPS-R3_v01_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
379676
Downloads
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- Data files
- AG_NETWORK
- AG_SEC_01
- AG_SEC_2A
- AG_SEC_2B
- AG_SEC_3A
- AG_SEC_3B
- AG_SEC_4A
- AG_SEC_4B
- AG_SEC_5A
- AG_SEC_5B
- AG_SEC_6A
- AG_SEC_6B
- AG_SEC_7A
- AG_SEC_7B
- AG_SEC_08
- AG_SEC_9A
- AG_SEC_9B
- AG_SEC_9C
- AG_SEC_10
- AG_SEC_11
- AG_SEC_12A
- AG_SEC_12B
- AG_SEC_A
- COM_SEC_A1A2
- COM_SEC_CB
- COM_SEC_CC
- COM_SEC_CD
- COM_SEC_CE
- COM_SEC_CF
- COM_SEC_CF_ID
- COM_SEC_CG
- ConsumptionNPS3
- FILTERS
- HH_SEC_A
- HH_SEC_B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E
- HH_SEC_F
- HH_SEC_G
- HH_SEC_H
- HH_SEC_I
- HH_SEC_J1
- HH_SEC_J2
- HH_SEC_J3
- HH_SEC_J4
- HH_SEC_K
- HH_SEC_L
- HH_SEC_M
- HH_SEC_N
- HH_SEC_O1
- HH_SEC_O2
- HH_SEC_P
- HH_SEC_Q1
- HH_SEC_Q2
- HH_SEC_R
- HH_SEC_S
- HH_SEC_U2
- HH_SEC_V
- LF_NETWORK
- LF_SEC_01
- LF_SEC_02
- LF_SEC_03
- LF_SEC_04
- LF_SEC_05
- LF_SEC_06
- LF_SEC_07
- LF_SEC_08
- LF_SEC_09
- LF_SEC_10
- LF_SEC_11A
- LF_SEC_11B
- LF_SEC_12
- LF_SEC_13A
- LF_SEC_13B
- LF_SEC_A
- HouseholdGeovars_Y3
- NPSY3.PANEL.KEY
- PlotGeovars_Y3
- Y3_weights
Please list up to five main species of fish that you or any member of your house (lf12_02_2)
Data file: LF_SEC_12
Overview
Valid:
309
Invalid:
0
Type:
Discrete
Start:
11
End:
20
Width:
10
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BEMBE | 1 |
0.3%
|
|
| CHAA | 8 |
2.6%
|
|
| CHAFI | 1 |
0.3%
|
|
| CHANGU | 42 |
13.6%
|
|
| CHEWA | 3 |
1%
|
|
| DAGAA | 15 |
4.9%
|
|
| GEGE | 1 |
0.3%
|
|
| HANGO | 1 |
0.3%
|
|
| HONGWE | 6 |
1.9%
|
|
| IDULE | 1 |
0.3%
|
|
| JODARI | 7 |
2.3%
|
|
| KAA | 2 |
0.6%
|
|
| KALAMAMBA | 1 |
0.3%
|
|
| KALMAMBA | 1 |
0.3%
|
|
| KAMBA | 4 |
1.3%
|
|
| KAMBALE | 13 |
4.2%
|
|
| KAMBARE | 1 |
0.3%
|
|
| KAMONGO | 6 |
1.9%
|
|
| KANADI(NGU | 1 |
0.3%
|
|
| KANDA | 1 |
0.3%
|
|
| KELELA | 2 |
0.6%
|
|
| KIBALE | 1 |
0.3%
|
|
| KIBUA | 2 |
0.6%
|
|
| KIPAPA | 1 |
0.3%
|
|
| KITOGA | 3 |
1%
|
|
| KOANA | 3 |
1%
|
|
| KOAWA | 1 |
0.3%
|
|
| KOLEKOLE | 17 |
5.5%
|
|
| KOLOKOLO | 1 |
0.3%
|
|
| KOYOKOYO | 1 |
0.3%
|
|
| KUHE | 1 |
0.3%
|
|
| KUMBWA | 1 |
0.3%
|
|
| KUNGULA | 1 |
0.3%
|
|
| KUNGURA | 1 |
0.3%
|
|
| KUWE | 1 |
0.3%
|
|
| LUKUMBU | 1 |
0.3%
|
|
| MAGAMU | 1 |
0.3%
|
|
| MAGEGE | 2 |
0.6%
|
|
| MAKELELA | 1 |
0.3%
|
|
| MANDA | 1 |
0.3%
|
|
| MAWAMBALA | 1 |
0.3%
|
|
| MBASI | 1 |
0.3%
|
|
| MBONO | 2 |
0.6%
|
|
| MICHENA | 1 |
0.3%
|
|
| MIGEBUKA | 2 |
0.6%
|
|
| MIKEKE | 1 |
0.3%
|
|
| MIKIZI | 1 |
0.3%
|
|
| MIKUBU | 1 |
0.3%
|
|
| MKIZI | 3 |
1%
|
|
| MKONDAJI | 1 |
0.3%
|
|
| MKUNDAJI | 5 |
1.6%
|
|
| MLEA | 1 |
0.3%
|
|
| MSUSA | 2 |
0.6%
|
|
| MUMI | 1 |
0.3%
|
|
| NDADI | 1 |
0.3%
|
|
| NDUMI | 1 |
0.3%
|
|
| NGALAWALA | 2 |
0.6%
|
|
| NGERE | 1 |
0.3%
|
|
| NGIRI | 1 |
0.3%
|
|
| NGISI | 1 |
0.3%
|
|
| NGOGO | 1 |
0.3%
|
|
| NGURU | 4 |
1.3%
|
|
| NJELEWE | 1 |
0.3%
|
|
| NOLO | 2 |
0.6%
|
|
| NORO | 1 |
0.3%
|
|
| NUMBA | 1 |
0.3%
|
|
| NYIKA | 1 |
0.3%
|
|
| PAPA | 1 |
0.3%
|
|
| PELEGE | 1 |
0.3%
|
|
| PEREGE | 8 |
2.6%
|
|
| PONO | 11 |
3.6%
|
|
| PWEZA | 16 |
5.2%
|
|
| SALADINI | 1 |
0.3%
|
|
| SANGARA | 13 |
4.2%
|
|
| SATO | 10 |
3.2%
|
|
| SEHEWA | 2 |
0.6%
|
|
| SHAIRI | 1 |
0.3%
|
|
| SONGA | 1 |
0.3%
|
|
| SONGOLO | 1 |
0.3%
|
|
| TAA | 3 |
1%
|
|
| TAMBACHE | 1 |
0.3%
|
|
| TASI | 25 |
8.1%
|
|
| TEMBO | 1 |
0.3%
|
|
| TUKU | 1 |
0.3%
|
|
| TUNGU | 1 |
0.3%
|
|
| VIBUA | 7 |
2.3%
|
|
| VITOGA | 2 |
0.6%
|
|
| VITUI | 2 |
0.6%
|
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.