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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F26]
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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
558
  • 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

1993 (V21)

Data file: Total disbursements on Multilateral EDA loans (MEDA Disb)

Overview

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

Questions and instructions

Categories
Value Category
0
0.884
1.047
1.557
3.288
3.323
3.983
4.214
4.522
4.83
5.213
5.365
5.459
6.203
6.7
7.224
9.116
10.173
10.305
11.979
12.4
13.448
13.966
13.994
14.22
15.492
15.874
16.188
16.83
20.606
25.331
26.376
26.962
27.654
29.324
30.171
30.583
33.049
35.806
37.668
42.359
43.983
45.64
47.078
49.132
50.065
52.323
53.414
55.527
57.09
57.257
57.949
63.364
65.782
67.315
69.166
69.272
69.522
69.541
71.619
74.015
74.355
74.818
76.474
85.68
87.953
91.824
92.081
92.727
92.736
99.222
100.711
100.734
103.223
115.927
125.618
130.235
131.709
132.87
141.85
142.159
144.043
147.793
151.186
165.834
175.464
186.905
188.606
190.763
202.695
206.638
216.908
228.099
229.877
237.045
246.718
269.686
269.716
275.627
278.199
296.699
317.048
333.674
336.646
393.759
420.838
457.255
482.981
529.285
573.927
596.055
628.971
653.435
753.329
759.208
769.889
877.259
918.984
964.574
1311.374
1339.416
1487.01
1875.012
2165.643
2252.081
2542.862
31934.662
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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