National Panel Survey Report 2010-2011, Wave 2
Tanzania, 2010 - 2011
Get MicrodataCreated on
Feb 13, 2022
Last modified
Mar 15, 2022
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- Data files
- AG_SEC01
- AG_SEC2A
- AG_SEC2B
- AG_SEC3A
- AG_SEC3B
- AG_SEC4A
- AG_SEC4B
- AG_SEC5A
- AG_SEC5B
- AG_SEC6A
- AG_SEC6B
- AG_SEC7A
- AG_SEC7B
- AG_SEC8A
- AG_SEC8B
- AG_SEC8C
- AG_SEC09
- AG_SEC10A
- AG_SEC10B
- AG_SEC10C
- AG_SEC11
- AG_SEC12A
- AG_SEC12B
- Plot
- AG_FILTERS
- AG_NETWORK
- COMSEC_CA
- COMSEC_CB
- COMSEC_CD
- COMSEC_CE
- COMSEC_CF
- COMSEC_CG
- COMSEC_CH
- COMSEC_CI
- TZY2.EA
- COMSEC_CJ
- FS_B1
- FS_C1
- FS_D1
- FS_D2
- FS_D3
- FS_E1
- FS_E2
- FS_E3
- FS_F
- FS_FILTERS
- FS_G
- FS_H1
- FS_H2
- FS_H3
- FS_I
- FS_J1
- FS_J2
- FS_J3
- FS_K1
- FS_K2
- FS_K3
- FS_L
- FS_M
- FS_N1
- FS_N2
- HH
- HH_SEC_A
- HH_SEC_B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E1
- HH_SEC_E2
- HH_SEC_F
- HH_SEC_FILTERS
- HH_SEC_G
- HH_SEC_H1
- HH_SEC_H2
- HH_SEC_H3
- HH_SEC_I1
- HH_SEC_I2
- HH_SEC_J1
- HH_SEC_J2
- HH_SEC_K1
- HH_SEC_K2
- HH_SEC_K3
- HH_SEC_L
- HH_SEC_M
- HH_SEC_N
- HH_SEC_O1
- HH_SEC_O2
- HH_SEC_P
- HH_SEC_Q
- HH_SEC_R
- HH_SEC_S
- HH_SEC_U
- HH_SEC_V2
- TZY1.HH
- TZY2.HH
What kind of diseases did [ANIMAL] suffer in the past 12 (ag10a_37_2)
Data file: AG_SEC10A
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
38
Range:
0 - 24
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 | Mastitis |
| 23 | Not sick |
| 24 | Other |
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.