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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURE-CENSUS-SURVEYS / MWI_2010-2019_IHPS_V01_EN_M_V01_A_OCS / variable [F770]
agriculture-census-surveys

Integrated Household Panel Survey, 2010-2019

Malawi, 2010 - 2019
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Reference ID
MWI_2010-2019_IHPS_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office (NSO)
Collections
Agriculture Census and Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 05, 2021
Last modified
Feb 05, 2021
Page views
111611
Downloads
21941
  • Study Description
  • Data Description
  • Downloads
  • Data files
  • hh_mod_a_filt_10.dta
  • hh_mod_b_10.dta
  • hh_mod_c_10.dta
  • hh_mod_d_10.dta
  • hh_mod_e_10.dta
  • hh_mod_f_10.dta
  • hh_mod_g1_10.dta
  • hh_mod_g2_10.dta
  • hh_mod_g3_10.dta
  • hh_mod_h_10.dta
  • hh_mod_i1_10.dta
  • hh_mod_i2_10.dta
  • hh_mod_j_10.dta
  • hh_mod_k_10.dta
  • hh_mod_l_10.dta
  • hh_mod_m_10.dta
  • hh_mod_n1_10.dta
  • hh_mod_n2_10.dta
  • hh_mod_o_10.dta
  • hh_mod_p_10.dta
  • hh_mod_q_10.dta
  • hh_mod_r_10.dta
  • hh_mod_s1_10.dta
  • hh_mod_s2_10.dta
  • hh_mod_t_10.dta
  • hh_mod_u_10.dta
  • hh_mod_v_10.dta
  • hh_mod_w_10.dta
  • hh_mod_x_10.dta
  • HouseholdGeovariables_IHS3_Rerelease_10.dta
  • PlotGeovariables_IHS3_Rerelease_10.dta
  • ag_mod_a_filt_10.dta
  • ag_mod_b_10.dta
  • ag_mod_c_10.dta
  • ag_mod_d_10.dta
  • ag_mod_e_10.dta
  • ag_mod_f_10.dta
  • ag_mod_g_10.dta
  • ag_mod_h_10.dta
  • ag_mod_i_10.dta
  • ag_mod_j_10.dta
  • ag_mod_k_10.dta
  • ag_mod_l_10.dta
  • ag_mod_m_10.dta
  • ag_mod_n_10.dta
  • ag_mod_o_10.dta
  • ag_mod_p_10.dta
  • ag_mod_q_10.dta
  • ag_mod_r1_10.dta
  • ag_mod_r2_10.dta
  • ag_mod_s_10.dta
  • ag_mod_t1_10.dta
  • ag_mod_t2_10.dta
  • ag_network_10.dta
  • fs_mod_b_filt_10.dta
  • fs_mod_c_10.dta
  • fs_mod_d1_10.dta
  • fs_mod_d2_10.dta
  • fs_mod_d3_10.dta
  • fs_mod_e1_10.dta
  • fs_mod_e2_10.dta
  • fs_mod_f1_10.dta
  • fs_mod_f2_10.dta
  • fs_mod_g_10.dta
  • fs_mod_h1_10.dta
  • fs_mod_h2_10.dta
  • fs_mod_h3_10.dta
  • fs_mod_i1_10.dta
  • fs_mod_i2_10.dta
  • fs_mod_j1_10.dta
  • fs_mod_j2_10.dta
  • com_ca_10.dta
  • com_cb_10.dta
  • com_cc_10.dta
  • com_cd_10.dta
  • com_ce_10.dta
  • com_cf_10.dta
  • com_cg1_10.dta
  • com_cg2_10.dta
  • com_ch_10.dta
  • com_ci_10.dta
  • com_cj_10.dta
  • com_ck_10.dta
  • HouseholdGeovariables_IHPS_13
  • PlotGeovariables_IHPS_13
  • hh_meta_13
  • hh_mod_a_filt_13
  • hh_mod_b_13
  • hh_mod_c_13
  • hh_mod_d_13
  • hh_mod_e_13
  • hh_mod_f_13
  • hh_mod_g1_13
  • hh_mod_g2_13
  • hh_mod_g3_13
  • hh_mod_h_13
  • hh_mod_i1_13
  • hh_mod_i2_13
  • hh_mod_j_13
  • hh_mod_k_13
  • hh_mod_l_13
  • hh_mod_m_13
  • hh_mod_n1_13
  • hh_mod_n2_13
  • hh_mod_o_13
  • hh_mod_p_13
  • hh_mod_q_13
  • hh_mod_r_13
  • hh_mod_s1_13
  • hh_mod_s2_13
  • hh_mod_t_13
  • hh_mod_u_13
  • hh_mod_v_13
  • hh_mod_x_13
  • ag_meta_13
  • ag_mod_b1_13
  • ag_mod_ba_13
  • ag_mod_bb_13
  • ag_mod_c_13
  • ag_mod_d_13
  • ag_mod_e1_13
  • ag_mod_e2_13
  • ag_mod_e3_13
  • ag_mod_e4_13
  • ag_mod_e5_13
  • ag_mod_f_13
  • ag_mod_g_13
  • ag_mod_h_13
  • ag_mod_i_13
  • ag_mod_i1_13
  • ag_mod_j_13
  • ag_mod_k_13
  • ag_mod_l_13
  • ag_mod_m_13
  • ag_mod_n_13
  • ag_mod_nr_13
  • ag_mod_o_13
  • ag_mod_o1_13
  • ag_mod_o2_13
  • ag_mod_p_13
  • ag_mod_q_13
  • ag_mod_r1_13
  • ag_mod_r2_13
  • ag_mod_s_13
  • ag_mod_t1_13
  • ag_mod_t2_13
  • ag_mod_u1_13
  • ag_mod_u2_13
  • ag_mod_u3_13
  • ag_mod_u4_13
  • fs_meta_13
  • fs_mod_a_13
  • fs_mod_b_13
  • fs_mod_c_13
  • fs_mod_d1_13
  • fs_mod_d2_13
  • fs_mod_d3_13
  • fs_mod_d4_13
  • fs_mod_e1_13
  • fs_mod_e2_13
  • fs_mod_f1_13
  • fs_mod_f2_13
  • fs_mod_g_13
  • fs_mod_h1_13
  • fs_mod_h2_13
  • fs_mod_h3_13
  • fs_mod_h4_13
  • fs_mod_i1_13
  • fs_mod_i2_13
  • fs_mod_j1_13
  • fs_mod_j2_13
  • com_meta_13
  • com_mod_a_13
  • com_mod_b_13.dta
  • com_mod_c_13
  • com_mod_d_13
  • com_mod_e_13
  • com_mod_f1_13
  • com_mod_f2_13
  • com_mod_g_13
  • com_mod_h_13
  • com_mod_i_13
  • com_mod_j_13
  • com_mod_k_13
  • HouseholdGeovariablesIHPSY3
  • IHPS2016MemberDatabase_16
  • PlotGeovariablesIHPSY3_16
  • hh_meta_16
  • hh_mod_a_filt_16
  • hh_mod_b_16
  • hh_mod_c_16
  • hh_mod_d_16
  • hh_mod_e_16.sav
  • hh_mod_f_16
  • hh_mod_g1_16
  • hh_mod_g2_16
  • hh_mod_g3_16
  • hh_mod_h_16
  • hh_mod_i1_16
  • hh_mod_i2_16
  • hh_mod_j_16
  • hh_mod_k1_16
  • hh_mod_k2_16
  • hh_mod_l_16
  • hh_mod_m_16
  • hh_mod_n1_16
  • hh_mod_n2_16
  • hh_mod_o_16
  • hh_mod_p_16
  • hh_mod_q_16
  • hh_mod_r_16
  • hh_mod_s1_16
  • hh_mod_s2_16
  • hh_mod_t_16
  • hh_mod_u_16
  • hh_mod_v_16
  • hh_mod_w_16
  • hh_mod_x_16
  • ag_meta_16
  • ag_mod_a_16
  • ag_mod_b1_16
  • ag_mod_b2_16
  • ag_mod_c_16
  • ag_mod_d_16
  • ag_mod_e1_16
  • ag_mod_e2_16
  • ag_mod_e3_16
  • ag_mod_e4_16
  • ag_mod_f_16
  • ag_mod_g_16
  • ag_mod_h_16
  • ag_mod_i_16
  • ag_mod_i1_16
  • ag_mod_i2_16
  • ag_mod_j_16
  • ag_mod_k_16
  • ag_mod_l_16
  • ag_mod_m_16
  • ag_mod_n_16
  • ag_mod_nr_16
  • ag_mod_o_16
  • ag_mod_o1_16
  • ag_mod_o2_16
  • ag_mod_p_16
  • ag_mod_q_16
  • ag_mod_r1_16
  • ag_mod_r2_16
  • ag_mod_s_16
  • ag_mod_t1_16
  • ag_mod_t2_16
  • ag_mod_u_16
  • ag_mod_v_16
  • fs_meta_16
  • fs_mod_a_16
  • fs_mod_b_16
  • fs_mod_c_16
  • fs_mod_d1_16
  • fs_mod_d2_16
  • fs_mod_d3_16
  • fs_mod_e1_16
  • fs_mod_e2_16
  • fs_mod_f1_16
  • fs_mod_f2_16
  • fs_mod_g_16
  • fs_mod_h1_16
  • fs_mod_h2_16
  • fs_mod_h3_16
  • fs_mod_i1_16
  • fs_mod_j1_16
  • fs_mod_j2_16
  • com_meta_16
  • com_ca_16
  • com_cb_16
  • com_cc_16
  • com_cd_16
  • com_ce_16
  • com_cf1_16
  • com_cf2_16
  • com_cg_16.dta
  • com_mod_cg_16
  • com_ch_16
  • com_ci_16
  • com_cj_16
  • ihps2019memberdatabase
  • hh_meta_19
  • hh_mod_a_filt_19
  • hh_mod_b_19
  • hh_mod_c_19
  • hh_mod_d_19
  • hh_mod_e_19
  • hh_mod_f_19
  • hh_mod_f1_19
  • hh_mod_g1_19
  • hh_mod_g2_19
  • hh_mod_g3_19
  • hh_mod_h_19
  • hh_mod_i1_19
  • hh_mod_i2_19
  • hh_mod_j_19
  • hh_mod_k1_19
  • hh_mod_k2_19
  • hh_mod_l_19
  • hh_mod_m_19
  • hh_mod_n1_19
  • hh_mod_n2_19
  • hh_mod_o_19
  • hh_mod_p_19
  • hh_mod_q_19
  • hh_mod_r_19
  • hh_mod_s1_19
  • hh_mod_s2_19
  • hh_mod_t_19
  • hh_mod_u_19
  • hh_mod_v_19
  • hh_mod_w_19
  • hh_mod_x_19
  • ag_meta_19
  • ag_mod_a_19
  • ag_mod_b2_19
  • ag_mod_c_19
  • ag_mod_d_19
  • ag_mod_e1_19
  • ag_mod_e2_19
  • ag_mod_e3_19
  • ag_mod_e4_19
  • ag_mod_f_19
  • ag_mod_g_19
  • ag_mod_h_19
  • ag_mod_i_1_19
  • ag_mod_i_19
  • ag_mod_i2_19
  • ag_mod_j_19
  • ag_mod_k_19
  • ag_mod_l_19
  • ag_mod_m_19
  • ag_mod_n_19
  • ag_mod_nr_19
  • ag_mod_o_1_19
  • ag_mod_o_19
  • ag_mod_o2_19
  • ag_mod_p_19
  • ag_mod_q_1_19
  • ag_mod_q_19
  • ag_mod_r1_19
  • ag_mod_r2_19
  • ag_mod_s_19
  • ag_mod_t1_19
  • ag_mod_t2_19
  • fs_meta_19
  • fs_mod_a_19
  • fs_mod_b_19
  • fs_mod_c_19
  • fs_mod_d1_19
  • fs_mod_d2_19
  • fs_mod_d3_19
  • fs_mod_e1_19
  • fs_mod_e2_19
  • fs_mod_f1_19
  • fs_mod_f2_19
  • fs_mod_g_19
  • fs_mod_h1_19
  • fs_mod_h2_19
  • fs_mod_h3_19
  • fs_mod_i1_19
  • fs_mod_i2_19
  • fs_mod_j1_19
  • fs_mod_j2_19
  • com_meta_19
  • com_ca_19
  • com_cb_19
  • com_cc_19
  • com_cd_19
  • com_ce_19
  • com_cf1_19
  • com_cf2_19
  • com_cg_19
  • com_ch_19
  • com_ci_19
  • com_cj_19
  • com_ck_19
  • IND_MOD_A
  • IND_MOD_B
  • IND_MOD_F
  • IND_MOD_G
  • IND_MOD_H
  • IND_MOD_I
  • IND_MOD_J
  • IND_MOD_K
  • IND_MOD_L
  • IND_MOD_NR

(com_ck00a)

Data file: com_ck_19

Overview

Valid: 5151
Invalid: -
Minimum: 1
Maximum: 51
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 51
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Maize grain 101
2%
2 Maize flour (Gramil, Rab, or locally milled) 101
2%
3 Cost to grind 50 kg bag of maize 101
2%
4 Cost to grind 50 kg bag of rice 101
2%
5 Rice 101
2%
6 White bread loaf (unsliced) 101
2%
7 Scone / Mandazi 101
2%
8 Beans 101
2%
9 Cabbage 101
2%
10 Tomatoes 101
2%
11 Banana 101
2%
12 Fresh milk (liquid) 101
2%
13 Egg 101
2%
14 Chicken (live) 101
2%
15 Dried fish (usipa) 101
2%
16 Beef 101
2%
17 Tea leaves 101
2%
18 Salt 101
2%
19 Sugar, white 101
2%
20 Cooking oil (Kazinga, Kukoma) 101
2%
21 Chips, potato (street vendor) 101
2%
22 Bar soap (Maluwa) 101
2%
23 Toothbrush 101
2%
24 Toothpaste (50 g tube) 101
2%
25 Clothes soap (Omo, Surf) 101
2%
26 Vaseline/glycerin 101
2%
27 Aspirin or Panadol 101
2%
28 Fansidar (3 tablet packet) 101
2%
29 Chitenje cloth 101
2%
30 Trousers (kaunjika) 101
2%
31 Coca-Cola, Fanta (bottle) 101
2%
32 Carlsberg beer (bottle) 101
2%
33 Cigarettes, Embassy (packet) 101
2%
34 Battery (dry cell) for radio 101
2%
35 Watch, digital (simple), plastic 101
2%
36 Firewood 101
2%
37 Charcoal 101
2%
38 Paraffin 101
2%
39 Chemical fertilizer (mkt value) 101
2%
40 Pesticides/Insecticides (mkt value) 101
2%
41 Herbicides/Fungicides (mkt value) 101
2%
42 Motorized transport of crop output (per 50kg per kilometer) 101
2%
43 Hybrid maize seed (mkt value) 101
2%
44 Hand hoe, without handle 101
2%
45 Panga 101
2%
46 Sickle 101
2%
47 Axe 101
2%
48 Bicycle 101
2%
49 Foam mattress (10 cm, single) 101
2%
50 Mosquito net (white, not treated with insecticide, single) 101
2%
51 Ganyu wage, 1 day, adult male 101
2%
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.
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