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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
296
  • 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

1978 (V6)

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
-15.2969018466944
-14.1572977930628
-7.32370573989824
-7.23508714950808
-7.18246454236639
-4.6080537998692
-4.40938018789098
-2.22357686427247
-1.73881264741143
-0.794113382364589
-0.174749102603463
0
0.0362749604525499
0.0419446693329121
0.239125156097282
0.247896515810098
0.274645246854166
0.311974540006651
0.327258808592718
0.348690593328856
0.408868896237032
0.42888808787804
0.642543634556012
0.660658461447061
0.788196564597544
0.905645465867873
0.94153144566634
0.962575791264311
1.2083646131677
1.25790843998464
1.58188321126014
2.18628547392013
2.19035203253882
2.20704215737659
2.55246555649549
2.82306715048756
3.43436088561679
3.63312173373903
3.71501512255095
3.98002379968397
4.16350604191623
4.36714482425895
4.7928824718229
5.26374420497702
5.31692683911466
5.78517689125584
5.96998469971755
6.12992832301317
6.44258849182304
6.89264016729885
7.73918817248422
8.03066773939913
8.55787753354038
8.80633501183998
10.2150362851468
10.7958055979282
13.1536177841894
13.3284551937456
13.514500422875
14.1637292481361
14.1732613096109
15.3073775287561
15.4140256276823
16.1664023652201
16.3316945557128
17.3542028232205
17.7381801473143
17.7750900053886
18.4852197794207
20.3985057553984
21.1685266080695
22.2015591886656
22.2697710441553
22.5712705624655
24.2591491592118
24.589725800381
25.6157388120101
27.839860537655
30.037666609462
30.4183774450046
31.2238261693587
34.0600055266401
38.7384924960076
39.3702000958912
41.4072547846746
41.9707034510317
42.1234786335083
43.1234454725901
51.9120463755824
56.8048772298681
64.8739226527203
67.9307021436054
73.6979737321138
83.2777851477058
143.352342119798
152.588131368818
175.678058377211
256.909404685646
1995.78045803093
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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