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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
303
  • 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

1980 (V8)

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
-6.34652122737615
-1.76378451466703
-0.646281326456205
-0.366636236333591
-0.0161613806029405
0
0.103782001910555
0.140863408047906
0.33131658579307
0.474814438642036
0.591607452647846
0.601793420901691
0.602485658742496
0.808000374054414
0.8715004166939
0.932493826382441
1.14282201872133
1.21406036653817
1.27947170217281
1.32606978036589
1.36356942420331
1.43301434184285
1.54271609230128
1.77804127070411
1.85809698900661
1.8779917413952
1.94806097371288
2.1758110987454
2.68727144211646
3.52266569544385
3.54042324006428
3.66834531155143
3.87350370246672
3.89182403530154
3.92871963392962
4.46107767331748
4.64858136159116
4.83416237580907
5.2940626006819
6.15550732693553
6.2333682251272
6.65825730509988
8.34129148279719
8.67068169252561
9.4392912412324
10.5204209567913
10.8524600624213
11.1494779141328
11.9586845616301
12.0255010510981
12.4511889053521
13.1498541173116
13.801717658519
14.8283702626931
15.5154886714472
15.6440260349963
15.8510361835826
17.8531328180223
18.2834180981731
18.538738229021
19.9246709327411
20.0014550893391
21.0584124918616
21.8660170047595
22.7826560614427
23.7241991168806
27.946544316704
27.9866115051365
28.7292581118467
29.6338213305049
30.1394050400681
30.8938099959864
31.1831128716762
31.650998305456
31.8634176985109
32.0199219888125
32.2214405804515
32.5109861737719
33.3500235784836
34.7202820236813
35.1230164663594
36.2067194201699
39.315094405528
39.5331964552615
40.9468726233042
43.576699923787
43.6619779609915
46.4685692690563
46.501785745939
46.9020300316153
47.2581996146877
50.7379512367458
53.3424287758278
53.8555660823566
55.9236524844402
56.909233579003
62.9303141450459
68.6476056056087
79.8723690517156
96.6517048215392
98.3279688210093
242.65431258948
282.154500028475
1205.94696161892
3755.18732354425
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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