National Panel Survey 2014-2015, Wave 4
Tanzania, 2014 - 2015
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Aug 19, 2024
Last modified
Aug 19, 2024
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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
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#3) (lf03_02_3)
Data file: lf_sec_03
Overview
Valid:
7
Invalid:
10160
Minimum:
2
Maximum:
22
Type:
Discrete
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 1 | BRUCELOSIS (UGONJWA WA KUTUPA MIMBA) |
| 2 | CBPP (HOMA YA MAPAFU) |
| 3 | LUMPY SKIN DISEASE (MAPELENGOZI) |
| 4 | CCPP (HOMA YA MAPAFU KWA MBUZI) |
| 5 | ECF (NDIGANA KALI) |
| 6 | RABIES (KICHAA CHA MBWA) |
| 7 | FMD (UGONWA WA MIGUU NA MIDOMO) |
| 8 | ANTHRAX (KIMETA) |
| 9 | BQ (CHAMBAVU) |
| 10 | NEW CASTLE DISEASE (KIDELI/MDONDO) |
| 11 | SMALL POX (NDUI) |
| 12 | GOMBORO (GUMBORO) |
| 13 | helminthiosis |
| 14 | ASF (HOMA YA NGURUWE) |
| 15 | TICK BORNE DISEASE |
| 16 | typanosomiasis |
| 17 | FOOT ROT |
| 18 | tetanus |
| 19 | mange |
| 20 | anaemia |
| 21 | CANINE DISTEMPER |
| 22 | NOT SICK |
| 23 | OTHER (SPECIFY) |
| Sysmiss |
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.
Description
Source of information
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#3)
Imputation and derivation
Imputation
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#3)
Others
Security
What kind of diseases did [ANIMAL] suffer in the past 12 months? (#3)