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
Region Name (ag_a01_2)
Data file: ag_sec_a
Overview
Valid:
2101
Invalid:
0
Type:
Discrete
Start:
13
End:
28
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ARUSHA | 55 |
2.6%
|
|
| DAR ES SALAAM | 74 |
3.5%
|
|
| DODOMA | 58 |
2.8%
|
|
| GEITA | 69 |
3.3%
|
|
| IRINGA | 71 |
3.4%
|
|
| KAGERA | 163 |
7.8%
|
|
| KASKAZINI PEMBA | 40 |
1.9%
|
|
| KASKAZINI UNGUJA | 34 |
1.6%
|
|
| KATAVI | 47 |
2.2%
|
|
| KIGOMA | 88 |
4.2%
|
|
| KILIMANJARO | 89 |
4.2%
|
|
| KUSINI PEMBA | 35 |
1.7%
|
|
| KUSINI UNGUJA | 16 |
0.8%
|
|
| LINDI | 72 |
3.4%
|
|
| MANYARA | 39 |
1.9%
|
|
| MARA | 65 |
3.1%
|
|
| MBEYA | 102 |
4.9%
|
|
| MJINI MAGHARIBI | 25 |
1.2%
|
|
| MOROGORO | 80 |
3.8%
|
|
| MTWARA | 124 |
5.9%
|
|
| MWANZA | 102 |
4.9%
|
|
| NJOMBE | 39 |
1.9%
|
|
| PWANI | 51 |
2.4%
|
|
| RUKWA | 33 |
1.6%
|
|
| RUVUMA | 58 |
2.8%
|
|
| SHINYANGA | 98 |
4.7%
|
|
| SIMIYU | 111 |
5.3%
|
|
| SINGIDA | 47 |
2.2%
|
|
| TABORA | 135 |
6.4%
|
|
| TANGA | 81 |
3.9%
|
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.