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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
682
  • 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

1994 (V22)

Data file: Multilateral Effective Development Assistance (MEDA)

Overview

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

Questions and instructions

Categories
Value Category
-51.4429734736072
-44.8742105961278
-31.9903991303912
-26.7473917820738
-18.8193460065577
-11.7663452901287
-11.3330092865193
-8.12170673904428
-7.2829692809095
-6.9985631291564
-2.72248816390581
-2.1928665517783
-1.32982166861416
-0.182390531112398
0.784937906449773
1.3338232813181
2.09607641056122
2.84055444757707
3.36553583072626
4.57617001015804
4.81453334796408
4.89319040470625
4.97210441429076
5.06070998154429
5.51244713141348
5.52016244455188
7.14711681552751
7.40613976539892
7.58604089347814
7.61507574045074
7.61900381033466
7.69182562841773
7.77824576474065
8.55316929860655
8.92723582169727
9.41131484441684
10.0261580856305
10.2827005895026
11.0949335733408
11.7484241681947
12.1043851659977
13.6113243536299
13.6712608282511
14.4404445200695
15.1517927735512
15.3732278732542
16.4302139948657
16.57
16.8827845092107
17.0102301698878
18.2598335126499
18.9598151334523
19.28
19.3490122746684
21.5800019205236
24.0513104972913
24.6377875747089
24.8691699004051
25.7295388472774
27.8066747324283
30.2685133534358
31.0555979412156
32.929117064348
32.9538223531859
34.95
35.49
41.3939070410821
41.5429933834032
47.8936189191718
48.2474385386247
48.3377416951572
49.3884285145395
51.3983066781534
52.4317162766027
52.8380628223556
54.3771671498429
54.5968519641023
55.5208681949948
57.5800968040118
62.0429528464128
63.42
64.6114961914003
67.7362592502878
69.3153160797591
71.9335082143438
71.9893413997006
77.6743977949992
78.2644720608677
79.5226142383593
81.5603617784524
82.3333551817546
83.9075666923684
87.2292026672879
94.3744036301952
98.1480147850605
105.640150543635
118.231890400578
118.449805816062
122.40295574255
125.462705044196
129.891827742175
132.648771815645
133.952395783208
136.715388575297
138.261362243431
141.32795885266
149.013773489363
158.811575645497
168.506372971528
173.234267919544
176.487096176291
178.703504389118
182.238511453537
184.246207596579
189.352274256617
189.455242432419
194.502536436818
196.585145988771
197.241325468424
209.425621830138
213.363684598022
219.071124664378
239.631681709902
267.924569461026
311.428276438869
321.106554220092
350.340119766927
393.275502655467
435.959134481272
593.290453006157
722.253431585154
725.530090473665
804.010707718055
11953.8534682617
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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