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    Home / Central Data Catalog / NPL_2009_ES_V01_M_WB / variable [F5]
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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
317
  • 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

1981 (V9)

Data file: Bilateral grant equivalents used to construct BEDA (BEDA GQ)

Overview

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

Questions and instructions

Categories
Value Category
0
0.000416483083902614
0.000828622638637805
0.0208697104867171
0.074494705954082
0.0877352104767889
0.198508644294836
0.225372918556056
0.328814622170045
0.533144207519786
0.549198513639144
0.968505708255427
1.00004601233735
1.28930031533969
1.42030402126702
1.42948006385519
1.4545427176252
1.54151703392391
1.79578062481795
2.0501952192505
2.05223908331373
2.12485813836068
2.54728434852433
2.64169904863649
2.81099100497723
2.96296580122501
3.17089084821892
3.61624088701724
3.63771943642462
4.00059876115406
4.08655136189674
4.13601118182549
4.31897636529405
4.56858676103418
4.83762554704004
5.03861113547373
5.13543569522902
5.16407324620873
5.35330837107916
5.36947946926893
5.66372911229895
6.02350314752654
6.02708369319707
7.18732435035016
7.4001981027701
8.24515527135518
9.87878634463037
9.9528881505381
10.8291716798216
10.8461972104896
11.0062989302008
11.8800987027793
12.2588976702195
16.8473014320325
16.9213889022964
18.8125709604652
19.2944221833153
20.7520247849695
21.6061176601918
22.4445391168163
22.6550554045371
23.8889892251461
24.597586806139
25.0855212734107
26.7569614003044
28.2217677221094
30.5338984964189
30.6537635004625
36.3500305663195
38.0443641104729
38.5542601833102
39.187669735884
40.6009297806961
40.8138778753723
41.4704359986788
49.8317575127167
52.4934574575897
53.0401781477989
56.9492208276143
58.8730788665807
64.8058004312502
66.9279730450252
68.6025643476506
69.6024761622062
70.428085836498
71.1584747064783
71.780887456344
81.3366988113584
83.4092544141855
85.0675432969606
91.6643607976248
94.8918876111349
96.3788512509537
105.631395564999
113.808359324423
115.056951204513
118.580722454447
123.894735076623
157.360293179121
158.362524367945
213.035933533204
214.060496416668
296.173824856465
327.409648659253
329.650530118089
363.332488104954
397.649533684404
602.289754388673
5757.37575324697
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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