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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F27]
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Enterprise Survey 2009

Nepal, 2009
Reference ID
NPL_2009_ES_v01_M_WB
Producer(s)
World Bank,
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
251
  • Study Description
  • Data Description
  • Get Microdata
  • Data Files
  • Average GE on
    all BEDA loans
    with
    disbursements
    during each
    given year (Avg
    BEDA GE)
  • Bilateral Debt
    forgiveness
    used to adjust
    bilateral
    grants (B
    Debtf)
  • Bilateral
    grants used to
    construct BEDA
    (B Grants)
  • Total
    disbursements
    on bilateral
    EDA loans (BEDA
    Disb)
  • Bilateral grant
    equivalents
    used to
    construct BEDA
    (BEDA GQ)
  • Bilateral EDA
    (BEDA)
  • Memo item,
    bilateral
    technical
    assistance
    (Memo BTA)
  • Average GE on
    all EDA loans
    with
    disbursements
    during each
    given year (Avg
    EDA GE)
  • Bilateral Debt
    forgiveness
    used to adjust
    bilateral
    grants (B
    Debtf)
  • Total
    disbursements
    on EDA loans
    (EDA Disb)
  • Grant
    equivalents
    used to
    construct EDA
    (EDA GQ)
  • Effective
    Development
    Assistance
    (EDA)
  • Grants used to
    construct EDA
  • Memo item,
    total technical
    assistance
    (Memo TA)
  • Average GE on
    all MEDA loans
    with
    disbursements
    during each
    given year (Avg
    MEDA GE)
  • Multilateral
    grants used to
    construct MEDA
    (M Grants)
  • Total
    disbursements
    on
    Multilateral
    EDA loans (MEDA
    Disb)
  • Multilateral
    grant
    equivalents
    used to
    construct MEDA
    (MEDA GQ)
  • Multilateral
    Effective
    Development
    Assistance
    (MEDA)
  • Memo item,
    multilateral
    technical
    assistance
    (Memo MTA)
CSV JSON

1977 (V5)

Data file: Multilateral grant equivalents used to construct MEDA (MEDA GQ)

Overview

Valid: 134
Invalid: 0
Type: Discrete
Decimal: 2
Range: -
Format:

Questions and instructions

Categories
Value Category
-8.15484079298613
-7.19332788128197
-5.05030836178849
-3.55288153120753
-2.56213468506214
-2.25684972926703
-1.86354257692203
-1.80586829593931
-0.214990713961856
-0.126415186558492
-0.0544101460537096
-0.0346030457764508
0
0.0973435730301985
0.0978616301741505
0.144821733156521
0.145970572614965
0.156402299180982
0.172686440447613
0.203415804816866
0.219030540981624
0.222018355275555
0.251602786843523
0.287810734079355
0.356973754692032
0.398976366307034
0.458216461463145
0.464679507209816
0.536370598686377
0.58402941945137
0.624935677780875
0.699441828834319
0.966723207891058
0.971010618437817
1.02279158225544
1.15143478791109
1.16437097081125
1.26212433911543
1.3500160579946
1.57544416683604
1.96080938555402
2.06339607848262
2.18755214292819
2.90979528597154
3.09787407680421
3.14700688160559
3.19215729198097
3.45393119932033
3.76400473329227
5.22522756950112
5.39611018046234
5.49302922465843
5.6520183470247
5.88079345879767
5.97297644472261
6.44259288029783
6.5626841599246
6.78341555332324
7.01571102755709
7.20015662677374
7.30831669502936
7.48119799699716
8.12458243681094
8.41530090887712
8.74267797813219
9.06796351716746
9.2331975932764
9.42007845366655
9.63984061584499
9.72726697600581
10.6039524781766
10.9681648661978
11.1551881515828
11.8597096594821
12.5716168089501
12.8194115036949
14.2204286453897
15.4375609659629
15.8630778190157
16.4300421841964
16.6938979342414
17.1084296576356
18.198962799981
18.325105743618
20.2711932863939
20.6380001038395
20.7811504153338
22.2401714816041
23.6346061416874
25.3314823238577
26.6029098816007
27.6507419821372
28.0876447542059
30.715497065254
39.7178427555153
41.4064519852873
45.5829690097687
99.1492700749952
115.437006977098
225.537903504202
260.409004890127
1438.7273924413
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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