Enterprise Survey 2009
Nepal, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
413
- 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)
1991 (V19)
Data file: Total disbursements on EDA loans (EDA Disb)
Overview
Valid:
134
Invalid:
0
Type:
Discrete
Decimal:
2
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 0.436 | |
| 0.959 | |
| 1.992 | |
| 2.108 | |
| 3.161 | |
| 3.331 | |
| 4.158 | |
| 4.425 | |
| 4.843 | |
| 4.863 | |
| 6.088 | |
| 7.145 | |
| 8.235 | |
| 9.307 | |
| 10 | |
| 10.258 | |
| 10.495 | |
| 12.475 | |
| 14.472 | |
| 14.972 | |
| 15.671 | |
| 16.242 | |
| 16.382 | |
| 16.39 | |
| 16.837 | |
| 19.659 | |
| 19.905 | |
| 20.961 | |
| 22.399 | |
| 24.069 | |
| 28.244 | |
| 30.679 | |
| 30.937 | |
| 31.58 | |
| 40.243 | |
| 48.836 | |
| 54.679 | |
| 58.759 | |
| 59.812 | |
| 66.404 | |
| 66.717 | |
| 68.506 | |
| 71.268 | |
| 86.171 | |
| 89.754 | |
| 91.031 | |
| 92.122 | |
| 96.843 | |
| 97.532 | |
| 101.096 | |
| 103.001 | |
| 112.043 | |
| 115.633 | |
| 117.971 | |
| 119.426 | |
| 123.783 | |
| 127.728 | |
| 128.469 | |
| 132.934 | |
| 141.002 | |
| 144.416 | |
| 150.184 | |
| 154.962 | |
| 157.439 | |
| 168.737 | |
| 168.976 | |
| 170.451 | |
| 182.487 | |
| 185.667 | |
| 201.542 | |
| 214.359 | |
| 215.007 | |
| 215.207 | |
| 216.681 | |
| 232.527 | |
| 238.28 | |
| 240.525 | |
| 258.663 | |
| 298.554 | |
| 301.652 | |
| 304.199 | |
| 305.674 | |
| 311.354 | |
| 318.16 | |
| 337.977 | |
| 363.237 | |
| 402.477 | |
| 408.307 | |
| 409.086 | |
| 439.824 | |
| 467.701 | |
| 509.44 | |
| 535.041 | |
| 571.317 | |
| 577.353 | |
| 593.508 | |
| 617.355 | |
| 666.403 | |
| 702.468 | |
| 738.815 | |
| 753.329 | |
| 874.785 | |
| 901.276 | |
| 985.527 | |
| 1098.821 | |
| 1200.942 | |
| 1276.725 | |
| 1349.947 | |
| 1383.142 | |
| 1394.421 | |
| 1701.214 | |
| 1923.972 | |
| 2233.862 | |
| 2453.012 | |
| 2649.056 | |
| 3965.666 | |
| 4363.911 | |
| 5087.998 | |
| 52149.059 |
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.