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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
326
  • 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

1983 (V11)

Data file: Bilateral EDA (BEDA)

Overview

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

Questions and instructions

Categories
Value Category
-0.11339168722455
0
3.66138974859441e-05
7.7826435673164e-05
0.654030045844162
1.06127430221578
1.07
1.42298079726456
2.11
2.30250591744738
2.53508251069338
2.56785281973119
3.58795910948627
4.38524634153598
4.40159472012356
4.97099865276245
5.29274660461961
5.38638926296059
5.47
6.15806347949822
7.75217938535214
7.91
7.94218921240039
8.40550219612553
9.09814401958915
9.93818633891709
9.9561267928486
10.9468590439341
11.4701428697711
11.5366009330954
12.6289243382037
13.5538182614931
14.1389593921709
15.1684873566307
15.5794908381138
16.0349619903647
19.3705321488751
20.1744798036497
22.7711049022047
22.9349132178373
24.6947431238648
25.1213191510083
25.3058739101458
26.3389465487565
26.4676786896177
27.1586861988653
30.091570554008
31.7561968668905
32.0869685503358
35.4974362212676
36.4791236170236
36.5975058859888
37.5332478316255
38.2859381114339
39.5257231509408
42.17
42.8399811050758
42.9830859794628
43.5907783207607
45.0749766058188
45.699608455705
47.8791780756302
49.8967968950389
53.2225213117474
55.0052821059597
55.6588622514443
55.685092229984
59.3607947872855
59.5659936328918
60.140827422331
62.113048121461
66.6238105420997
67.0765248737726
68.4857770625308
72.7680166910199
73.728962391595
78.5685319643502
84.9814948796168
89.3481851619048
93.3616874989566
95.0976999057238
95.4500821272654
97.0832212475643
97.692141113237
100.145702568883
110.132999403969
114.330290992804
135.525830605156
145.36122964262
150.076928603411
151.787420250577
153.847642484046
156.225801165315
157.731486360607
158.785541617538
167.058654567513
167.911546046035
170.924711787095
186.536069704354
194.480293995402
206.253083761828
213.40518863846
256.803053482244
267.404733619844
283.453054143734
315.055959364641
354.921747616351
379.215487586908
384.283313670038
549.747258425894
565.831211730727
572.175256125948
693.918166426896
710.070400892493
774.965107514118
11643.0341443263
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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