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
SPQ9: Total amount to be paid on the loan including interest? (spq9)
Data file: SEC_P2_English_Labels
Overview
Valid:
228
Invalid:
0
Minimum:
0
Maximum:
33000000
Type:
Discrete
Decimal:
0
Start:
35
End:
42
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | ***Undefined Label |
| 200 | |
| 250 | |
| 400 | |
| 500 | |
| 1000 | |
| 1500 | |
| 2000 | |
| 2500 | |
| 3500 | |
| 4000 | |
| 5000 | |
| 7000 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 14000 | |
| 15000 | |
| 18000 | |
| 20000 | |
| 22000 | |
| 24000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 35000 | |
| 40000 | |
| 41000 | |
| 50000 | |
| 55000 | |
| 59000 | |
| 60000 | |
| 61600 | |
| 65000 | |
| 70000 | |
| 75000 | |
| 82500 | |
| 86000 | |
| 90000 | |
| 93100 | |
| 100000 | |
| 105000 | |
| 106000 | |
| 108000 | |
| 110000 | |
| 112000 | |
| 112200 | |
| 112500 | |
| 113000 | |
| 120000 | |
| 121000 | |
| 125000 | |
| 128000 | |
| 140000 | |
| 150000 | |
| 157000 | |
| 174000 | |
| 175000 | |
| 183000 | |
| 194000 | |
| 195000 | |
| 199000 | |
| 200000 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 240000 | |
| 244000 | |
| 248000 | |
| 250000 | |
| 260000 | |
| 268800 | |
| 269800 | |
| 275000 | |
| 280000 | |
| 288000 | |
| 300000 | |
| 305000 | |
| 312000 | |
| 320000 | |
| 335000 | |
| 336000 | |
| 390000 | |
| 400000 | |
| 420000 | |
| 460000 | |
| 475000 | |
| 480000 | |
| 500000 | |
| 525000 | |
| 528000 | |
| 536800 | |
| 572000 | |
| 590000 | |
| 595200 | |
| 600000 | |
| 612000 | |
| 640000 | |
| 650000 | |
| 698000 | |
| 720000 | |
| 754000 | |
| 777200 | |
| 780000 | |
| 900000 | |
| 920000 | |
| 1000000 | |
| 1046000 | |
| 1050000 | |
| 1077500 | |
| 1140000 | |
| 1152000 | |
| 1200000 | |
| 1250000 | |
| 1400000 | |
| 1440000 | |
| 1488000 | |
| 1525000 | |
| 1560000 | |
| 1600000 | |
| 1700000 | |
| 1728000 | |
| 1939424 | |
| 2250000 | |
| 2268000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2808000 | |
| 2900000 | |
| 2960000 | |
| 3078000 | |
| 3384000 | |
| 3400000 | |
| 3800000 | |
| 4000000 | |
| 4550000 | |
| 4600000 | |
| 4806000 | |
| 6000000 | |
| 6500000 | |
| 7000000 | |
| 7142400 | |
| 7500000 | |
| 11400000 | |
| 12000000 | |
| 13000000 | |
| 16500000 | |
| 33000000 |
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.