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    Home / Central Data Catalog / LSMS / MWI_2010-2016_IHPS_V03_M / variable [F131]
lsms

Integrated Household Panel Survey 2010-2013-2016 (Long-Term Panel, 102 EAs)

Malawi, 2010 - 2016
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Reference ID
MWI_2010-2016_IHPS_v03_M
DOI
https://doi.org/10.48529/r5t3-j215
Producer(s)
National Statistical Office
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 05, 2017
Last modified
Jan 30, 2020
Page views
1374128
Downloads
191636
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • HouseholdGeovariables_IHS3_Rerelease_10
  • PlotGeovariables_IHS3_Rerelease_10
  • hh_mod_a_filt_10
  • hh_mod_b_10
  • hh_mod_c_10
  • hh_mod_d_10
  • hh_mod_e_10
  • hh_mod_f_10
  • hh_mod_g1_10
  • hh_mod_g2_10
  • hh_mod_g3_10
  • hh_mod_h_10
  • hh_mod_i1_10
  • hh_mod_i2_10
  • hh_mod_j_10
  • hh_mod_k_10
  • hh_mod_l_10
  • hh_mod_m_10
  • hh_mod_n1_10
  • hh_mod_n2_10
  • hh_mod_o_10
  • hh_mod_p_10
  • hh_mod_q_10
  • hh_mod_r_10
  • hh_mod_s1_10
  • hh_mod_s2_10
  • hh_mod_t_10
  • hh_mod_u_10
  • hh_mod_v_10
  • hh_mod_w_10
  • hh_mod_x_10
  • ag_mod_a_filt_10
  • ag_mod_b_10
  • ag_mod_c_10
  • ag_mod_d_10
  • ag_mod_e_10
  • ag_mod_f_10
  • ag_mod_g_10
  • ag_mod_h_10
  • ag_mod_i_10
  • ag_mod_j_10
  • ag_mod_k_10
  • ag_mod_l_10
  • ag_mod_m_10
  • ag_mod_n_10
  • ag_mod_o_10
  • ag_mod_p_10
  • ag_mod_q_10
  • ag_mod_r1_10
  • ag_mod_r2_10
  • ag_mod_s_10
  • ag_mod_t1_10
  • ag_mod_t2_10
  • ag_network_10
  • fs_mod_b_filt_10
  • fs_mod_c_10
  • fs_mod_d1_10
  • fs_mod_d2_10
  • fs_mod_d3_10
  • fs_mod_e1_10
  • fs_mod_e2_10
  • fs_mod_f1_10
  • fs_mod_f2_10
  • fs_mod_g_10
  • fs_mod_h1_10
  • fs_mod_h2_10
  • fs_mod_h3_10
  • fs_mod_i1_10
  • fs_mod_i2_10
  • fs_mod_j1_10
  • fs_mod_j2_10
  • com_ca_10
  • com_cb_10
  • com_cc_10
  • com_cd_10
  • com_ce_10
  • com_cf_10
  • com_cg1_10
  • com_cg2_10
  • com_ch_10
  • com_ci_10
  • com_cj_10
  • com_ck_10
  • 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
  • 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
  • hh_meta_16
  • hh_mod_a_filt_16
  • hh_mod_c_16
  • hh_mod_d_16
  • hh_mod_e_16
  • 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
  • IHPS2016MemberDatabase_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
  • PlotGeovariablesIHPSY3_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_ch_16
  • com_ci_16
  • com_cj_16
  • HouseholdGeovariablesIHPSY3
  • hh_mod_b_16
  • com_mod_cg_16
  • IND_MOD_A
  • IND_MOD_B
  • IND_MOD_F
  • IND_MOD_H
  • IND_MOD_I
  • IND_MOD_J
  • IND_MOD_K
  • IND_MOD_L
  • IND_MOD_NR

Plot Name (ag_j03)

Data file: ag_mod_j_13

Overview

Valid: 512
Invalid: 0
Type: Discrete
Start: 15
End: 39
Width: 25
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
BANGO 1
0.2%
BEANS 35
6.8%
BELITA 1
0.2%
BIRINGANYA 1
0.2%
CABBAGE 6
1.2%
CHIDAWATI 1
0.2%
CHIDZINJA 1
0.2%
CHIMAMEZI 1
0.2%
CHIMANGA 3
0.6%
CHIMOMBO 1
0.2%
CHIMWALIRA 1
0.2%
CHIMWANKHUKU 1
0.2%
CHINESE 1
0.2%
CHINESE GARDEN 1
0.2%
CHINESSE 1
0.2%
CHISAWANI 1
0.2%
CHITENGU 1
0.2%
CHIZINJA 1
0.2%
D1 2
0.4%
D2 1
0.2%
DAM 1
0.2%
DAMBO 1
0.2%
DG1 1
0.2%
DIMBA 34
6.6%
DINDI 1
0.2%
EGG PLANT 1
0.2%
EGG PLANTS 1
0.2%
FALLOW 13
2.5%
FOLLOW 1
0.2%
FURROW 1
0.2%
H MAIZE 4
0.8%
H.MAIZE 1
0.2%
H/MAIZE 3
0.6%
HYBRID 5
1%
HYBRID MAIZE 35
6.8%
HYBRID MAIZE PLOT 1
0.2%
HYBRID RECYCLED 2
0.4%
I/POTATO 1
0.2%
IRISH 5
1%
IRISH POTATO 18
3.5%
IRISH POTATOE 1
0.2%
IRISH POTATOE PLOT 2
0.4%
IRISH POTATOES 1
0.2%
KAMADZI DAMBO 1
0.2%
KASANGADZI 1
0.2%
KU BRIDGE 1
0.2%
KU DIMBA 1
0.2%
KU MCHERE 2
0.4%
KU NDAWE 1
0.2%
KUCHANJIRI 1
0.2%
KUCHIKHALE 1
0.2%
KUCHIMVU 2
0.4%
KUCHIPANDA 1
0.2%
KUDAMBO 12
2.3%
KUDAMU 1
0.2%
KUDIMBA 10
2%
KUDINDE 1
0.2%
KUHUNA 1
0.2%
KUKAMWIYO 1
0.2%
KUMADZI 2
0.4%
KUMAKANDE 1
0.2%
KUMAMINA 1
0.2%
KUMANAZALE 1
0.2%
KUMATOWO 2
0.4%
KUMPULA 1
0.2%
KUMTUNDA 1
0.2%
KUMUNSI 2
0.4%
KUMUSI 8
1.6%
KUNTHIPWI 1
0.2%
KUPHANJE 1
0.2%
KUPHEDI 2
0.4%
KWA KAYALO 1
0.2%
KWA MOTO 1
0.2%
KWA NZEMBE 1
0.2%
KWA SELEMANI 2
0.4%
KWAKWASI 1
0.2%
KWATELA 1
0.2%
L MAIZE 1
0.2%
LOCAL MAIZE 11
2.1%
LUDZI 1
0.2%
MAIZE 18
3.5%
MAIZE HYBRID 1
0.2%
MAIZE PLOT 1
0.2%
MAKHUTHU 1
0.2%
MASAMBA 4
0.8%
MATOLO 1
0.2%
MAZUMBWI 1
0.2%
MBATATA 2
0.4%
MCHERE 1
0.2%
MIYONI 1
0.2%
MKUZI 1
0.2%
MPILU 3
0.6%
MPIRU 12
2.3%
MTSUKANTHANGA 2
0.4%
MUNDA WA PAKHOMO 1
0.2%
MUNDA WAKUMADZI 1
0.2%
MUNDA WAPAKHOMO 1
0.2%
MZEMBE 1
0.2%
NABANDA 1
0.2%
NACHIMANGO 1
0.2%
NACHIWALE 1
0.2%
NAKADANGWA(2) 1
0.2%
NAMADZI 1
0.2%
NAMISECHE 1
0.2%
NKHWANI 20
3.9%
NKWAKWAZI 1
0.2%
NNAMADZI 1
0.2%
NSAWAWA 1
0.2%
NSINJE 1 1
0.2%
NSINJE 2 1
0.2%
OKRA 2
0.4%
ONION 1
0.2%
ONIONS 2
0.4%
OPV MAIZE 2
0.4%
PAKHOMO 6
1.2%
PAMUSI 1
0.2%
PATSIDYA 1
0.2%
PEA 1
0.2%
PEAS 1
0.2%
PHAKAO 1
0.2%
RAPE 6
1.2%
RECYCLED HYBRID 2
0.4%
RECYCLED HYBRID MAIZE 3
0.6%
RECYCLED MAIZE 5
1%
RICE 1
0.2%
S/POTATO 2
0.4%
SCHEME 1
0.2%
SUGARCANE 1
0.2%
SWEET POTATO 6
1.2%
SWEET POTATOES 4
0.8%
TANAPOPSI 1
0.2%
TANAPOSI 21
4.1%
TCHESA 1
0.2%
THERERE 1
0.2%
THERERE PLOT 1
0.2%
TOBACCO 1
0.2%
TOMATO 48
9.4%
TOMATO & NKHWANI 2
0.4%
TOMATO GARDEN 1
0.2%
TOMATO KUMUSI 1
0.2%
TOMATO PLOT 1
0.2%
TOMATOE 2
0.4%
TOMATOES 7
1.4%
VEGATABLES 1
0.2%
VEGETABLE PLOT 2
0.4%
VEGETABLES 1
0.2%
WA KUCHIGUMUKIRE 1
0.2%
WA KUDAMBO 2
0.4%
WA KUDAMBO 2 1
0.2%
WA KUSIDYA 1
0.2%
WAKU TEA 1
0.2%
WAKUDAMBO 1
0.2%
WAKUMADZI 1
0.2%
WAKUMATIMBE 1
0.2%
WAPAKHOMO 1
0.2%
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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