National Panel Survey 2014-2015, Wave 4
Tanzania, 2014 - 2015
Get Microdata
Reference ID
TZA_2014_NPS-R4_v03_M
Producer(s)
National Bureau of Statistics
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
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- Data files
- ag_filters
- 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_10
- ag_sec_11
- ag_sec_12a
- ag_sec_12b
- ag_sec_a
- hh_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_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_filters
- 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_11a
- lf_sec_11b
- lf_sec_12
- lf_sec_13a
- lf_sec_13b
- lf_sec_a
- npsy4.child.anthro
- npsy4.ea.offset
- LF_SEC_10
- 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
- consumptionNPS4
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:
118
Invalid:
0
Type:
Discrete
Start:
11
End:
20
Width:
10
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| CHAA | 1 |
0.8%
|
|
| CHAFI | 2 |
1.7%
|
|
| CHANGU | 12 |
10.2%
|
|
| CHANGUDOA | 1 |
0.8%
|
|
| CHELEMA | 1 |
0.8%
|
|
| CHEWA | 1 |
0.8%
|
|
| DAGAA | 11 |
9.3%
|
|
| FURU | 1 |
0.8%
|
|
| HOLOMBWE | 1 |
0.8%
|
|
| JODARI | 2 |
1.7%
|
|
| JONGOO | 1 |
0.8%
|
|
| KAA | 1 |
0.8%
|
|
| KAMBA | 1 |
0.8%
|
|
| KAMBALE | 8 |
6.8%
|
|
| KAMBARE | 1 |
0.8%
|
|
| KAMONGO | 1 |
0.8%
|
|
| KANGAJA | 1 |
0.8%
|
|
| KEKENA | 1 |
0.8%
|
|
| KITOGA | 2 |
1.7%
|
|
| KOANA | 2 |
1.7%
|
|
| KOLEKOLE | 2 |
1.7%
|
|
| KUHE | 1 |
0.8%
|
|
| MAKALAMBIS | 1 |
0.8%
|
|
| MBELELE | 1 |
0.8%
|
|
| MBETE | 1 |
0.8%
|
|
| MDUNJI | 1 |
0.8%
|
|
| MIBANGA | 1 |
0.8%
|
|
| MIDUNJI | 1 |
0.8%
|
|
| MIGEBUKA | 4 |
3.4%
|
|
| MIKULA | 1 |
0.8%
|
|
| MKIZI | 1 |
0.8%
|
|
| MPALI | 1 |
0.8%
|
|
| MPWEZA | 1 |
0.8%
|
|
| NDUMI | 1 |
0.8%
|
|
| NGEGE | 1 |
0.8%
|
|
| NGELE | 2 |
1.7%
|
|
| NGISI | 1 |
0.8%
|
|
| NGOGOGO | 1 |
0.8%
|
|
| NGURU | 1 |
0.8%
|
|
| PEREGE | 7 |
5.9%
|
|
| PONO | 2 |
1.7%
|
|
| PWEZA | 8 |
6.8%
|
|
| ROBA | 1 |
0.8%
|
|
| SAMSULI | 1 |
0.8%
|
|
| SANGARA | 6 |
5.1%
|
|
| SARADINI | 1 |
0.8%
|
|
| SATO | 4 |
3.4%
|
|
| TAA | 1 |
0.8%
|
|
| TASI | 6 |
5.1%
|
|
| VIBONDE | 1 |
0.8%
|
|
| VIBUA | 1 |
0.8%
|
|
| VITOGA | 2 |
1.7%
|
|
| VITUI | 1 |
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.