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
Collection(s)
Metadata
Created on
Jul 17, 2017
Last modified
Jan 30, 2020
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
CROP NAME (zaoname)
Data file: ag_sec_5a
Overview
Valid:
4433
Invalid:
0
Type:
Discrete
Start:
14
End:
33
Width:
20
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ALIZETI | 146 |
3.3%
|
|
| BAMIA | 22 |
0.5%
|
|
| BILINGANYA | 6 |
0.1%
|
|
| BOGA | 82 |
1.8%
|
|
| BOGA(MAJANI YA MABOG | 1 |
0%
|
|
| CHINESE | 2 |
0%
|
|
| CHOROKO | 89 |
2%
|
|
| DENGU | 18 |
0.4%
|
|
| FIGIRI | 2 |
0%
|
|
| FIWI | 6 |
0.1%
|
|
| KABICHI | 2 |
0%
|
|
| KARANGA | 343 |
7.7%
|
|
| KAROTI | 3 |
0.1%
|
|
| KISAMVU | 1 |
0%
|
|
| KUNDE | 124 |
2.8%
|
|
| MAGIMBI | 88 |
2%
|
|
| MAHARAGE | 494 |
11.1%
|
|
| MAHINDI | 1423 |
32.1%
|
|
| MAJANI YA MABOGA | 3 |
0.1%
|
|
| MAMUNG'UNYA | 2 |
0%
|
|
| MATANGO | 13 |
0.3%
|
|
| MATEMBELE | 6 |
0.1%
|
|
| MATIKITI | 3 |
0.1%
|
|
| MATIKITI MAJI | 1 |
0%
|
|
| MBAAZI | 150 |
3.4%
|
|
| MBOGAMBOGA | 2 |
0%
|
|
| MBOGAMBOGA SALADI | 1 |
0%
|
|
| MCHICHA | 16 |
0.4%
|
|
| MHOGO | 5 |
0.1%
|
|
| MNAVU | 2 |
0%
|
|
| MPUNGA | 425 |
9.6%
|
|
| MTAMA | 183 |
4.1%
|
|
| MWANI | 3 |
0.1%
|
|
| NGANO | 3 |
0.1%
|
|
| NJEGERE | 4 |
0.1%
|
|
| NJUGUMAWE | 49 |
1.1%
|
|
| NYANYA | 32 |
0.7%
|
|
| NYANYA CHUNGU | 3 |
0.1%
|
|
| PAMBA | 102 |
2.3%
|
|
| PILIPILI | 2 |
0%
|
|
| PILIPILI HOHO | 3 |
0.1%
|
|
| SOYA | 1 |
0%
|
|
| SPINACHI | 5 |
0.1%
|
|
| TANGAWIZI | 3 |
0.1%
|
|
| TEMBELE | 5 |
0.1%
|
|
| TIKITIMAJI | 1 |
0%
|
|
| TUMBAKU | 37 |
0.8%
|
|
| UFUTA | 116 |
2.6%
|
|
| ULEZI | 19 |
0.4%
|
|
| UWELE | 9 |
0.2%
|
|
| VIAZI MVIRINGO | 42 |
0.9%
|
|
| VIAZI VIKUU | 11 |
0.2%
|
|
| VIAZI VITAMU | 309 |
7%
|
|
| VITUNGUU MAJI | 10 |
0.2%
|
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.