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    Home / Central Data Catalog / LSMS / TZA_2020_NPS-R5_V02_M
lsms

National Panel Survey 2020-21, Wave 5
Wave 5

Tanzania, 2020 - 2022
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Reference ID
TZA_2020_NPS-R5_v02_M
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 30, 2023
Last modified
Mar 03, 2023
Page views
215841
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  • Study Description
  • Data Description
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  • Data files
  • hh_sec_a
  • hh_sec_b
  • hh_sec_c
  • hh_sec_d
  • hh_sec_e1
  • hh_sec_e2
  • hh_sec_e3
  • hh_sec_f
  • hh_sec_g
  • hh_sec_h
  • hh_sec_i
  • hh_sec_i2
  • hh_sec_j1
  • hh_sec_j3
  • hh_sec_j4
  • hh_sec_ja1
  • hh_sec_k
  • hh_sec_l
  • hh_sec_m
  • hh_sec_n
  • hh_sec_o1
  • hh_sec_o2
  • hh_sec_p
  • hh_sec_q1
  • hh_sec_q2
  • hh_sec_r
  • hh_sec_s
  • hh_sec_u2
  • hh_sec_v
  • cm_sec_a
  • cm_sec_b
  • cm_sec_c
  • cm_sec_d
  • cm_sec_d2
  • cm_sec_e
  • cm_sec_f
  • cm_sec_f_id
  • cm_sec_g
  • ag_sec_01
  • ag_sec_02
  • ag_sec_3a
  • ag_sec_3b
  • ag_sec_4a
  • ag_sec_4b
  • ag_sec_5a
  • ag_sec_5b
  • ag_sec_6a
  • ag_sec_6b
  • ag_sec_7a
  • ag_sec_7b
  • ag_sec_10
  • ag_sec_11
  • ag_sec_12a
  • ag_sec_12b
  • ag_filters
  • lf_sec_02
  • lf_sec_03
  • lf_sec_04
  • lf_sec_04a
  • lf_sec_05
  • lf_sec_06
  • lf_sec_07
  • lf_sec_08
  • consumption_real_y4
  • consumption_real_y5
  • npsy5.panel.key
  • npsy5.child.anthro

Data file: cm_sec_d2

Information on major land related events, including appropriation of land for outside investors, district or central government declaring land as “reserve land”, and allocation of land cultivated/inhabited by villagers for public use, as well as reasons for re-allocation of land (if any), number of households affected, and associated compensation.

Cases: 1464
Variables: 8

Variables

interview__key
Interview key (identifier in XX-XX-XX-XX format)
interview__id
Unique 32-character long identifier of the interview
event_id
Major Land-Related Event ID
cm_d04
In the last 12 months, has any land been re-allocated for the following reasons?
cm_d05m
Month
cm_d05y
Year
cm_d06
How many households were affected?
cm_d07
What was the value of compensation that each household received, if any? (TSH)
Total: 8
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