National Panel Survey 2008-2009
Tanzania, 2008 - 2009
Get MicrodataCreated on
Dec 12, 2013
Last modified
Mar 29, 2019
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- Data files
- SEC_A_T_Swahili_Labels
- SEC_B_C_D_E1_F_G1_U_Swahili_Labels
- SEC_E2_Swahili_Labels
- SEC_G2_Swahili_Labels
- SEC_H1_J_K2_O2_P1_Q1_S1_Swahili_Labels
- SEC_H2_Swahili_Labels
- SEC_H3_Swahili_Labels
- SEC_I_Swahili_Labels
- SEC_K1_Swahili_Labels
- SEC_L_Swahili_Labels
- SEC_M_Swahili_Labels
- SEC_N_Swahili_Labels
- SEC_O1_Swahili_Labels
- SEC_O3_Swahili_Labels
- SEC_P2_Swahili_Labels
- SEC_Q2_Swahili_Labels
- SEC_Q3_Swahili_Labels
- SEC_R_Swahili_Labels
- SEC_S2_Swahili_Labels
-
Agriculture
SEC_1_ALL_Swahili_Labels - SEC_2A_Swahili_Labels
- SEC_2B_Swahili_Labels
- SEC_3A_Swahili_Labels
- SEC_3B_Swahili_Labels
- SEC_4A_Swahili_Labels
- nps_weights_oct2010
- HH.Geovariables_Y1
- SECTA1A2_Swahili_Labels
- SECTCB_Swahili_Labels
- SECTCEFG
- SECTCH
- SECTCI
- SECTCJ_S
- SEC_A_T_English_Labels
- SEC_B_C_D_E1_F_G1_U_English_Labels
- SEC_E2_English_Labels
- SEC_G2_English_Labels
- SEC_H1_J_K2_O2_P1_Q1_S1_English_Labels
- SEC_H2_English_Labels
- SEC_H3_English_Labels
- SEC_I_English_Labels
- SEC_L_English_Labels
- SEC_M_English_Labels
- SEC_N_English_Labels
- SEC_O1_English_Labels
- SEC_O3_English_Labels
- SEC_P2_English_Labels
- SEC_Q2_English_Labels
- SEC_Q3_English_Labels
- SEC_R_English_Labels
- SEC_S2_English_Labels
- SEC_2A_English_Labels
- SEC_2B_English_Labels
- SEC_3A_English_Labels
- SEC_3B_English_Labels
- SEC_4A_English_Labels
- SECTA1A2_English_Labels
- SECTCB
- SECTCC
- SECTCD
CROP ID (zaocode)
Data file: SEC_4A_Swahili_Labels
Overview
Valid:
5703
Invalid:
1
Type:
Discrete
Decimal:
0
Start:
18
End:
20
Width:
3
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 11 | Mahindi |
| 12 | Mpunga |
| 13 | Mtama |
| 14 | Uwele |
| 15 | Ulezi |
| 16 | Ngano |
| 17 | Shayiri |
| 18 | Pilipili manga |
| 19 | Mwani |
| 21 | Muhogo |
| 22 | Viazi vitamu |
| 23 | Viazi mviringo |
| 24 | Viazi vikuu |
| 25 | Magimbi |
| 26 | Vitunguu maji |
| 27 | Tangawizi |
| 31 | Maharage |
| 32 | Kunde |
| 33 | Choroko |
| 34 | Mbaazi |
| 35 | Dengu |
| 36 | Njugu mawe |
| 37 | Njegere |
| 38 | Matofaa |
| 39 | Embe ng'on'go (Sakua) |
| 41 | Alizeti |
| 42 | Ufuta |
| 43 | Karanga |
| 44 | Mchikichi |
| 45 | Mnazi |
| 46 | Mkorosho |
| 47 | Soya |
| 50 | Pamba |
| 51 | Tumbaku |
| 53 | Mkonge |
| 54 | Kahawa |
| 55 | Chai |
| 56 | Kakao |
| 57 | Mpira |
| 58 | Miwati |
| 59 | Misufi |
| 60 | Miwa |
| 61 | Hiliki |
| 62 | Jute |
| 63 | Ukwaju |
| 64 | Mdalasini |
| 65 | Kungumanga |
| 66 | Mkarafuu |
| 68 | Mbalungi |
| 69 | Fenesi |
| 70 | Mpesheni |
| 71 | Migomba |
| 72 | Parachichi |
| 73 | Mwembe |
| 74 | Mpapai |
| 75 | Minanasi |
| 76 | Mchungwa |
| 77 | Madalanzi |
| 78 | Mzabibu |
| 79 | Mchenza |
| 80 | Mapera. |
| 81 | Matunda damu |
| 82 | Apples |
| 83 | Peasi |
| 84 | Mifyoksi |
| 85 | Mndimu/ Mlimau |
| 86 | Kabichi |
| 87 | Nyanya |
| 88 | Spinachi |
| 89 | Karoti |
| 90 | Pilipili |
| 91 | Mchicha |
| 92 | Boga |
| 93 | Tango |
| 94 | Mabilinganya |
| 95 | Matikiti maji |
| 96 | Cauliflower |
| 97 | Doriani |
| 98 | Mbirimbi |
| 99 | Shokshoki |
| 100 | Bamia |
| 101 | Fiwi |
| 998 | Other |
| 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.