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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
256
  • 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

1979 (V7)

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
-15.7327153439261
-4.0482034624831
-1.87313807130428
-1.76505604492505
-0.740599110682167
-0.0658775476698152
0
0.0546027555277553
0.108756019903293
0.212676814990338
0.219531550348607
0.2897736648451
0.295735930209844
0.298800881412063
0.317165751231982
0.361960884143087
0.452513020895305
0.500663154640353
0.587065043121216
0.689746633306452
0.70866085284149
0.761988375226174
0.842870188745696
1.02948573201937
1.07001001120085
1.22489637121623
1.34024490668453
1.39013217149573
1.5917896605971
1.62279617770633
1.91340868414644
1.93224153436557
1.9758707334989
2.1250076372189
2.35175978332337
2.56298564297253
2.65509434987981
3.69308503354393
4.03306450714576
4.60848333891026
5.03823708919042
5.23483352790997
5.65012297332921
6.19855347667114
7.1160554153018
7.17369731472351
7.19856436585032
7.34682015875065
7.56885329675976
7.74133827711578
7.78056637193078
7.80288929070084
9.25803304354419
9.31441579586091
9.54034131477427
9.55458697410039
9.80058082809777
11.2068597369381
11.6892612993061
11.7509969162009
12.1023197085158
12.4719548629585
12.6097902898859
14.3683888568033
14.8775990514855
15.722505443004
15.7440466623688
16.9104761959569
17.1865114160576
17.3274628784627
17.6781291202187
18.4393899729706
18.7135592585572
18.7368999552313
18.8498783867303
19.4641377803177
22.6488876370854
24.2481724319965
27.060000955429
28.171698042355
29.5939950875679
30.805431809492
31.4458994672565
34.2640268507403
36.8915273993825
37.8463416746616
38.4681445299944
41.6340940141393
49.618555436343
51.3073315569908
51.43019169417
51.5825151614221
52.720321541664
63.4517980049177
66.0934518025391
68.596120450306
69.4576449674873
72.300309937359
112.077730390276
216.344454716004
451.241122144008
2204.06570322649
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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