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    Home / Central Data Catalog / LSMS / ALB_2002_LSMS_V01_M / variable [F163]
lsms

Living Standards Measurement Survey 2002 (Wave 1 Panel)

Albania, 2002
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Reference ID
ALB_2002_LSMS_v01_M
DOI
https://doi.org/10.48529/q9zx-4b28
Producer(s)
Institute of Statistics of Albania
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Study website Interactive tools
Created on
Mar 23, 2011
Last modified
Jan 30, 2020
Page views
170077
Downloads
40046
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  • Data files
  • agr_a1_cl
  • agr_a2_cl
  • agr_a3_cl
  • agr_b_cl
  • agr_c_cl_2
  • agr_d_cl_2
  • agr_e_cl_2
  • agr_f_cl
  • anthro1_cld
  • anthro2d
  • bchecklist_cl
  • bfoodeaten_cl
  • bmetadata
  • bnonpurchased_cl
  • bookdaily_cl
  • c_access
  • c_basic
  • c_chars
  • c_credit
  • c_educa
  • c_healtr
  • c_other
  • c_price_cl
  • c_resp
  • c_servic
  • c_squal
  • durables_cl
  • dwelling_cl
  • filters
  • health_b
  • hhroster_cl
  • income
  • labor_a
  • labor_b_cl
  • labor_c_cl
  • labor_d_cl
  • maternity_a
  • maternity_b
  • metadata_cl
  • municipality
  • ndurables_cl
  • nonag_a_cl
  • nonag_b_cl_2
  • nonag_c_cl_2
  • nonag_d_cl_2
  • nonag_e_cl
  • nonfoodexp_1m_cl
  • nonfoodexp_6m_cl
  • nonfoodexp_12m_cl
  • poverty
  • price_list_cl1
  • subjpov_cl
  • transfer_a
  • transfer_b
  • transfer_c_cl
  • weights

Source (m8c_q00)

Data file: transfer_c_cl

Overview

Valid: 46787
Invalid: 0
Minimum: 1
Maximum: 13
Type: Discrete
Decimal: 0
Start: 6
End: 7
Width: 2
Range: 1 - 13
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Ndihma Ekonomika 3599
7.7%
2 Urban Old-age pension 3599
7.7%
3 Rural Old age pension 3599
7.7%
4 Supplementary pension 3599
7.7%
5 Invalid pension 3599
7.7%
6 Special merit person 3599
7.7%
7 Survivor pension 3599
7.7%
8 Unemployment benefit 3599
7.7%
9 War veteran benefits 3599
7.7%
10 Maternity benefits 3599
7.7%
11 Social care 3599
7.7%
12 Illness 3599
7.7%
13 Other 3599
7.7%
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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