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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F6]
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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
310
  • 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

1980 (V8)

Data file: Bilateral EDA (BEDA)

Overview

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

Questions and instructions

Categories
Value Category
-0.89037423601674
0
0.000732277949718882
0.00146954622653445
0.09
0.829016595944129
0.92
1.28
1.29582628628764
1.34687977003568
1.44045392471403
1.90248732422044
2.25054941289025
2.89796647447543
3.5594165488111
4.13996142242704
4.18732614588573
5.06983189225794
6.53
6.74844905350451
6.88345940386429
7.14644200086816
7.60578618656391
8.21364897587697
9.14296718579575
9.26825135406093
9.6126290479824
9.79721955688081
9.9334968541838
10.84
10.9148987449508
11.3038451568842
11.6762543548531
11.9283809221694
13.2030148499894
13.4848712479103
14.4870424399376
14.5556537136141
16.6186461499923
17.151343170225
17.4325597193303
19.66
20.52
20.7640296778487
21.3768754405163
21.8029775138168
23.0414205405772
27.5858933560515
27.850636140369
29.0324081795682
29.444163184001
30.8563354949046
31.4602859975385
32.4565731306423
33.3665912540472
33.6191936758952
36.0340083119313
37.6671450712386
38.8307925218639
39.6465367245529
39.6820733367903
40.9369223736886
42.2571892036772
43.48
44.4399211385475
47.3320667599696
47.8573876721897
47.9278512397205
48.7223369387752
52.2201330819976
54.8950953291119
54.9010234300642
58.9319860976585
58.9836462673738
59.6448754291414
62.9250981204882
70.1768867385157
70.9106751281061
71.3724962034385
74.0517309737739
79.0200132616949
79.1304564000741
79.3960470898539
81.5512655287514
85.1532206335065
87.7362319261883
95.306083509086
95.6652827829869
96.6522431370088
97.6489597264648
102.75
104.489023400021
134.386985829337
140.873468038317
149.174487738707
150.446671914405
156.635955938982
159.405684644026
168.810853887312
197.957630085255
209.940005075062
237.580757586763
238.446018551041
279.867634526823
357.450704062732
397.745725068996
403.08639592538
463.60946228268
513.239854383893
584.785492575257
702.067144108708
746.406681389129
851.398917084783
1170.64612468307
1180.15510963215
1679.51391508684
14289.5961726492
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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