National Panel Survey 2020-21, Wave 5
Wave 5
Tanzania, 2020 - 2022
Get Microdata
Reference ID
TZA_2020_NPS-R5_v02_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Jan 30, 2023
Last modified
Mar 03, 2023
Page views
239443
Downloads
27959
- Data files
- hh_sec_a
- hh_sec_b
- hh_sec_c
- hh_sec_d
- hh_sec_e1
- hh_sec_e2
- hh_sec_e3
- hh_sec_f
- hh_sec_g
- hh_sec_h
- hh_sec_i
- hh_sec_i2
- hh_sec_j1
- hh_sec_j3
- hh_sec_j4
- hh_sec_ja1
- 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
- cm_sec_a
- cm_sec_b
- cm_sec_c
- cm_sec_d
- cm_sec_d2
- cm_sec_e
- cm_sec_f
- cm_sec_f_id
- cm_sec_g
- ag_sec_01
- ag_sec_02
- 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_filters
- lf_sec_02
- lf_sec_03
- lf_sec_04
- lf_sec_04a
- lf_sec_05
- lf_sec_06
- lf_sec_07
- lf_sec_08
- consumption_real_y4
- consumption_real_y5
- npsy5.panel.key
- npsy5.child.anthro
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#2) (lf03_02_2)
Data file: lf_sec_03
Overview
Valid:
201
Invalid:
23344
Minimum:
2
Maximum:
23
Type:
Discrete
Decimal:
0
Width:
36
Range:
2 - 23
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 2 | CBPP (HOMA YA MAPAFU) | 3 |
0%
|
| 3 | LUMPY SKIN DISEASE (MAPELENGOZI) | 7 |
0%
|
| 4 | CCPP (HOMA YA MAPAFU KWA MBUZI) | 8 |
0%
|
| 5 | ECF (NDIGANA KALI) | 5 |
0%
|
| 6 | RABIES (KICHAA CHA MBWA) | 1 |
0%
|
| 7 | FMD (UGONWA WA MIGUU NA MIDOMO) | 10 |
0%
|
| 8 | ANTHRAX (KIMETA) | 2 |
0%
|
| 10 | NEW CASTLE DISEASE (KIDELI/MDONDO) | 1 |
0%
|
| 11 | SMALL POX (NDUI) | 57 |
0.2%
|
| 12 | GOMBORO (GUMBORO) | 12 |
0.1%
|
| 13 | HELMINTHIOSIS | 22 |
0.1%
|
| 15 | TICK BORNE DISEASE | 3 |
0%
|
| 16 | TYPANOSOMIASIS | 2 |
0%
|
| 17 | FOOT ROT | 11 |
0%
|
| 19 | MANGE | 4 |
0%
|
| 21 | CANINE DISTEMPER | 1 |
0%
|
| 22 | NOT SICK | 36 |
0.2%
|
| 23 | OTHER (SPECIFY) | 16 |
0.1%
|
| Sysmiss | 23344 |
99.1%
|
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.