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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
278
  • 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

1995 (V23)

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
-216.319427888295
-53.9882582299826
-51.3195307373068
-25.3297794027243
-20.3278211578026
-20.0848020699953
-14.7329179382788
-12.9263344527108
-5.92277733647475
-4.65858698325633
-3.25998790069144
-3.10865932170399
-3.03020835687848
-1.8454825355867
-1.56753089826612
-1.51099330194547
-1.15526518172795
-0.820190084459471
-0.707406006621531
-0.235263778732234
-0.17507745542969
-0.119257708699522
-0.0738743142945058
-0.0652833160820001
-0.0567659552967022
0
0.0046748876433161
0.0476991063055861
0.0596072386625613
0.0851865665662024
0.100345797354219
0.11490798416707
0.160250043256179
0.163887180270952
0.176840472152509
0.194867971951737
0.241514442876147
0.24941935379757
0.253868698827188
0.392822501225927
0.440909863561098
0.507854887366209
0.943126208713189
1.02433741552215
1.08026369223564
1.20932462022761
1.70113237097899
1.83243018858222
2.26332091390771
2.28430641426476
2.59398081384751
2.78236874144386
3.22341029841997
3.25692069171406
3.65512177979889
3.78582848913146
3.79754232755799
4.10700037831733
4.38097272826967
4.99934618190992
5.24331019679788
5.32525940178971
5.58605575169324
5.73926259421619
5.86645836068775
5.95579274893531
6.16076487321099
6.22469878172862
6.29406171697105
6.63600955171344
7.50624682032392
7.89871685360524
8.01142082330404
8.1259750156739
8.16994720319347
8.78706387049217
8.99185822999666
9.02177858770004
9.3744914069262
9.78452018024768
10.2804613199738
10.467129079808
10.907677383771
13.8939355895632
15.8359616451883
16.2583298245964
17.9543477102985
18.8762809172859
19.0307510721346
19.4127070083645
20.5346816577592
20.9910680339618
23.7839720311026
24.598367890939
26.0857386809337
27.0851975253553
29.5827366138075
31.8303854274487
32.415157932152
39.5123990550686
40.22291436515
54.5577739884816
60.3897409567494
63.291585003048
71.2964088061971
91.20492729568
94.7895505654564
98.9672458359367
136.724268182491
147.771457124753
209.637590221225
226.494105744275
253.115045968601
427.345900564534
2158.62340292888
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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