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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
707
  • 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

1991 (V19)

Data file: Multilateral Effective Development Assistance (MEDA)

Overview

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

Questions and instructions

Categories
Value Category
-106.407012152678
-77.1847785259341
-54.7662170891477
-45.7340307307461
-42.2065500939774
-40.800886054592
-12.4464534330718
-8.3239479008022
-7.8174445099154
-5.90736260975738
-5.8795503921036
-3.32208314353798
-0.327660732639304
0
0.749367386327145
0.774315607653867
1.27901184583107
1.6924775015495
2.74522631835985
2.9352367044476
3.23576652075645
3.74292474139738
3.86285687395336
4.09417247365239
4.09760362828609
4.2568298037578
4.44931579882754
4.52294059948392
5.36022240951029
5.74293450196409
5.93877471230221
6.13571869111432
6.5679790441794
8.57039294688871
8.81575172449482
9.61277618090425
10.8186690454869
12.1529089265537
12.7712343761577
12.84
13.1055729463286
13.2215007159197
13.5280983316065
14.2367120162887
14.8927593778554
15.1963969634268
17.1770649039091
17.3905954401516
17.9673394663613
20.5253640197774
22.6094530701974
23.0089839059403
23.4205867532697
29.5
29.5485609423594
31.7761768059441
32.0528755472191
32.673329042041
33.2802685142674
36.5513921061609
36.8206849649149
38.0857867706731
38.7864519027462
39.2346638777584
39.8867462832823
40.7979894029315
42.1982340088789
49.1991485539545
49.9555920588166
50.1964172281044
51.1521519876033
53.4959311250902
53.6666109867313
56.6092574151273
56.7946981831473
57.5979851440215
60.3228657615382
63.1041606966102
74.858240577832
75.3595952848178
79.2878814056466
83.1455139499876
83.7522775842818
84.6489324786002
87.0214616036798
87.5987669232411
94.9584288001389
95.2980205706409
95.4711498185881
105.254383611429
110.798558306597
111.048214808852
111.956198102571
116.546694876338
117.533743707335
120.996899889758
127.840150035694
152.936911749897
158.202283731349
160.973027200483
168.87042984612
215.777181209522
218.325423673075
219.578130757543
225.675615935558
226.778022926471
228.054584975651
231.82337588337
241.792727884606
314.949051550784
330.95263913239
337.610863079348
349.469748604954
470.624667626258
488.64275377291
557.449879700078
722.490379190893
730.824432922507
9681.3870819057
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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