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_4a
Overview
Valid:
5585
Invalid:
0
Type:
Discrete
Start:
33
End:
51
Width:
19
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ALIZETI | 175 |
3.1%
|
|
| BAMIA | 25 |
0.4%
|
|
| BILINGANYA | 5 |
0.1%
|
|
| BOGA | 10 |
0.2%
|
|
| CHINESE | 1 |
0%
|
|
| CHOROKO | 109 |
2%
|
|
| DENGU | 20 |
0.4%
|
|
| FIGIRI | 2 |
0%
|
|
| FIWI | 7 |
0.1%
|
|
| KABEJI | 1 |
0%
|
|
| KABICHI | 1 |
0%
|
|
| KARANGA | 377 |
6.8%
|
|
| KAROTI | 3 |
0.1%
|
|
| KISAMVU | 1 |
0%
|
|
| KUNDE | 136 |
2.4%
|
|
| MABILINGANYA | 1 |
0%
|
|
| MABOGA | 78 |
1.4%
|
|
| MAFUTA | 1 |
0%
|
|
| MAGIMBI | 98 |
1.8%
|
|
| MAHARAGE | 624 |
11.2%
|
|
| MAHINDI | 2088 |
37.4%
|
|
| MAJANI YA MABOGA | 6 |
0.1%
|
|
| MAJINAHAHA | 1 |
0%
|
|
| MAMUNG'UNYA | 2 |
0%
|
|
| MATANGO | 13 |
0.2%
|
|
| MATEMBELE | 8 |
0.1%
|
|
| MATIKITI | 2 |
0%
|
|
| MATIKITI MAJI | 2 |
0%
|
|
| MBAAZI | 194 |
3.5%
|
|
| MBOGAMBOGA | 2 |
0%
|
|
| MBOGAMBOGA (SALADI) | 1 |
0%
|
|
| MCHICHA | 17 |
0.3%
|
|
| MHOGO | 7 |
0.1%
|
|
| MNAVU | 2 |
0%
|
|
| MPUNGA | 490 |
8.8%
|
|
| MTAMA | 202 |
3.6%
|
|
| MWANI | 3 |
0.1%
|
|
| NGANO | 5 |
0.1%
|
|
| NJANO | 1 |
0%
|
|
| NJEGERE | 4 |
0.1%
|
|
| NJUGUMAWE | 55 |
1%
|
|
| NYANYA | 34 |
0.6%
|
|
| NYANYA CHUNGU | 4 |
0.1%
|
|
| PAMBA | 134 |
2.4%
|
|
| PILIPILI | 1 |
0%
|
|
| PILIPILI HOHO | 4 |
0.1%
|
|
| PILIPILI MBUZI | 1 |
0%
|
|
| SELENA | 1 |
0%
|
|
| SOYA | 1 |
0%
|
|
| SPINACHI | 6 |
0.1%
|
|
| SUPA | 1 |
0%
|
|
| TANGAWIZI | 3 |
0.1%
|
|
| TEMBELE | 3 |
0.1%
|
|
| TIKITIKI MAJI | 1 |
0%
|
|
| TUMBAKU | 46 |
0.8%
|
|
| UFUTA | 126 |
2.3%
|
|
| ULEZI | 19 |
0.3%
|
|
| UWELE | 9 |
0.2%
|
|
| VIAZI MVIRINGO | 59 |
1.1%
|
|
| VIAZI VIKUU | 12 |
0.2%
|
|
| VIAZI VITAMU | 330 |
5.9%
|
|
| VITUNGUU | 7 |
0.1%
|
|
| VITUNGUU MAJI | 3 |
0.1%
|
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.