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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F28]
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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
683
  • 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

1982 (V10)

Data file: Multilateral Effective Development Assistance (MEDA)

Overview

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

Questions and instructions

Categories
Value Category
-22.4550731584296
-0.320013037911124
-0.095859358813059
0
0.0199999999999996
0.10519316008496
0.198235967281191
0.49984162477236
0.66
0.689020586702826
0.806569922723188
1.2
1.55302195287495
1.70895669060359
1.80973649647543
1.9067197395121
1.96882567667624
2.01669666680179
2.45501663725201
2.60039328985661
2.8022743920711
3.09872991774929
3.35280206996341
4.59087617290682
4.62711265997417
4.82299878556036
5.24426464484383
5.4458497212685
5.6870095567825
6.07832810978653
6.29022419298153
6.33033101306551
6.40935928366664
6.44293955755651
6.56317416733107
6.83952415158008
7.36092832795873
7.67295438874504
7.68
8.0201567531625
8.43
9.53429025555562
10.5480401424824
10.8675817695596
11.528084825839
11.7498947608865
12.4700824552678
12.6713100267353
12.6787580793701
13.1500210988024
13.6569885418119
13.7618241916513
14.0957653360857
14.5221293982637
14.64
15.2160364327933
15.5977730810569
15.6504905366897
15.8571866333
16.1554793079963
16.1717339182456
16.2433322834798
16.4952029306067
17.5522464305878
17.8121585005272
18.651088687305
19.0518969978558
23.2618118723118
25.1122848490431
25.3213865994251
25.4111933988687
26.528757865957
27.1022215957153
28.2648428682991
28.8994685640118
29.6954672176768
31.1039197190898
31.2759192947005
31.3664460841267
31.7894462625281
32.0762297680082
32.2584469815063
33.5427147723077
33.8730080453573
34.4345046376133
34.4788414282961
38.9288020131359
40.2213461260443
41.5950291501046
43.2438971686948
45.3878500645659
50.7430141426332
53.22149680882
53.2742117555856
54.1741073184943
58.6101523750529
60.7565614389065
63.5679908832749
69.4017313288138
70.9622246756337
80.2819239907619
81.7339498541498
86.6037373839465
88.2707095787276
99.4771599199898
99.8446075294425
123.86528882582
151.388287650553
195.720636099899
279.32925632946
328.547667669228
1067.48160520781
4489.87667446056
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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