Integrated Household Panel Survey 2024 (Long-Term Panel and Sample Refresh, 51 EAs each)
Malawi, 2024 - 2025
Get Microdata
Reference ID
MWI_2024_IHPS-V_v01_M
Producer(s)
National Statistical Office (NSO)
Collection(s)
Created on
Jul 22, 2026
Last modified
Jul 22, 2026
Page views
6599
Downloads
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- Data files
- hh_meta_24
- hh_mod_a_filt_24
- hh_mod_b_24
- hh_mod_c_24
- hh_mod_d_24
- hh_mod_e_24
- hh_mod_f_24
- hh_mod_f1_24
- hh_mod_g1_24
- hh_mod_g2_24
- hh_mod_g3_24
- hh_mod_h_24
- hh_mod_i1_24
- hh_mod_i2_24
- hh_mod_j_24
- hh_mod_k1_24
- hh_mod_k2_24
- hh_mod_l_24
- hh_mod_m_24
- hh_mod_n1_24
- hh_mod_n2_24
- hh_mod_o_24
- hh_mod_p_24
- hh_mod_q_24
- hh_mod_r_24
- hh_mod_s1_24
- hh_mod_s2_24
- hh_mod_t_24
- hh_mod_u_24
- hh_mod_v_24
- hh_mod_w_24
- hh_mod_x_24
- hh_mod_z_24
- hh_mod_zb_24
- hh_mod_zc_24
- hh_mod_zd_24
- ag_meta_24
- ag_mod_a_24
- ag_mod_b2_24
- ag_mod_c_24
- ag_mod_d_24
- ag_mod_e1_24
- ag_mod_e2_24
- ag_mod_f_24
- ag_mod_g_24
- ag_mod_h_24
- ag_mod_i_1_24
- ag_mod_i_24
- ag_mod_i2_24
- ag_mod_j_24
- ag_mod_k_24
- ag_mod_l_24
- ag_mod_m_24
- ag_mod_n_24
- ag_mod_o_1_24
- ag_mod_o_24
- ag_mod_o2_24
- ag_mod_p_24
- ag_mod_q_1_24
- ag_mod_q_24
- ag_mod_r1_24
- ag_mod_r2_24
- ag_mod_s_24
- ag_mod_t1_24
- ag_mod_t2_24
- fs_mod_b_24
- fs_mod_c_24
- fs_mod_d_24
- com_meta_24
- com_ca_24
- com_cb_24
- com_cc_24
- com_cd_24
- com_ce_24
- com_cf1_24
- com_cf2_24
- com_cg_24
- com_ch_24
- com_ci_24
- com_cj_24
- com_ck_24
- ihps2024memberdatabase
Crop code (com_ck00a)
Data file: com_ck_24
Overview
Valid:
5049
Invalid:
0
Minimum:
1
Maximum:
51
Type:
Discrete
Width:
59
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Maize grain | 99 |
2%
|
| 2 | Maize flour (Gramil, Rab, or locally milled) | 99 |
2%
|
| 3 | Cost to grind 50 kg bag of maize | 99 |
2%
|
| 4 | Cost to grind 50 kg bag of rice | 99 |
2%
|
| 5 | Rice | 99 |
2%
|
| 6 | White bread loaf (unsliced) | 99 |
2%
|
| 7 | Scone / Mandazi | 99 |
2%
|
| 8 | Beans | 99 |
2%
|
| 9 | Cabbage | 99 |
2%
|
| 10 | Tomatoes | 99 |
2%
|
| 11 | Banana | 99 |
2%
|
| 12 | Fresh milk (liquid) | 99 |
2%
|
| 13 | Egg | 99 |
2%
|
| 14 | Chicken (live) | 99 |
2%
|
| 15 | Dried fish (usipa) | 99 |
2%
|
| 16 | Beef | 99 |
2%
|
| 17 | Tea leaves | 99 |
2%
|
| 18 | Salt | 99 |
2%
|
| 19 | Sugar, white | 99 |
2%
|
| 20 | Cooking oil (Kazinga, Kukoma) | 99 |
2%
|
| 21 | Chips, potato (street vendor) | 99 |
2%
|
| 22 | Bar soap (Maluwa) | 99 |
2%
|
| 23 | Toothbrush | 99 |
2%
|
| 24 | Toothpaste (50 g tube) | 99 |
2%
|
| 25 | Clothes soap (Omo, Surf) | 99 |
2%
|
| 26 | Vaseline/glycerin | 99 |
2%
|
| 27 | Aspirin or Panadol | 99 |
2%
|
| 28 | Fansidar (3 tablet packet) | 99 |
2%
|
| 29 | Chitenje cloth | 99 |
2%
|
| 30 | Trousers (kaunjika) | 99 |
2%
|
| 31 | Coca-Cola, Fanta (bottle) | 99 |
2%
|
| 32 | Carlsberg beer (bottle) | 99 |
2%
|
| 33 | Cigarettes, Embassy (packet) | 99 |
2%
|
| 34 | Battery (dry cell) for radio | 99 |
2%
|
| 35 | Watch, digital (simple), plastic | 99 |
2%
|
| 36 | Firewood | 99 |
2%
|
| 37 | Charcoal | 99 |
2%
|
| 38 | Paraffin | 99 |
2%
|
| 39 | Chemical fertilizer (mkt value) | 99 |
2%
|
| 40 | Pesticides/Insecticides (mkt value) | 99 |
2%
|
| 41 | Herbicides/Fungicides (mkt value) | 99 |
2%
|
| 42 | Motorized transport of crop output (per 50kg per kilometer) | 99 |
2%
|
| 43 | Hybrid maize seed (mkt value) | 99 |
2%
|
| 44 | Hand hoe, without handle | 99 |
2%
|
| 45 | Panga | 99 |
2%
|
| 46 | Sickle | 99 |
2%
|
| 47 | Axe | 99 |
2%
|
| 48 | Bicycle | 99 |
2%
|
| 49 | Foam mattress (10 cm, single) | 99 |
2%
|
| 50 | Mosquito net (white, not treated with insecticide, single) | 99 |
2%
|
| 51 | Ganyu wage, 1 day, adult male | 99 |
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.