Enterprise Survey 2009
Nepal, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
537
- 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)
1995 (V23)
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 | |
| 1.63 | |
| 2.221 | |
| 3.063 | |
| 3.29 | |
| 3.532 | |
| 4.439 | |
| 4.953 | |
| 6.196 | |
| 6.204 | |
| 6.914 | |
| 8.053 | |
| 9.594 | |
| 11.549 | |
| 12.284 | |
| 12.743 | |
| 14.456 | |
| 14.6 | |
| 15.198 | |
| 15.422 | |
| 16.597 | |
| 17.125 | |
| 19.22 | |
| 19.537 | |
| 23.531 | |
| 25.826 | |
| 26.354 | |
| 27.583 | |
| 28.344 | |
| 30.896 | |
| 32.612 | |
| 39.375 | |
| 39.567 | |
| 44.811 | |
| 45.2 | |
| 50.603 | |
| 50.76 | |
| 53.966 | |
| 58.79 | |
| 58.872 | |
| 65.34 | |
| 72.223 | |
| 78.594 | |
| 82.828 | |
| 85.059 | |
| 89.426 | |
| 94.746 | |
| 95.065 | |
| 102.058 | |
| 102.365 | |
| 103.732 | |
| 105.986 | |
| 108.604 | |
| 109.842 | |
| 111.642 | |
| 113.09 | |
| 113.357 | |
| 114.784 | |
| 116.725 | |
| 118.528 | |
| 122.119 | |
| 125.527 | |
| 127.379 | |
| 130.934 | |
| 131.06 | |
| 132.592 | |
| 133.358 | |
| 138.504 | |
| 161.5 | |
| 178.511 | |
| 181.734 | |
| 190.019 | |
| 192.824 | |
| 196.111 | |
| 196.265 | |
| 199.965 | |
| 200.553 | |
| 204.243 | |
| 211.389 | |
| 218.09 | |
| 219.018 | |
| 226.286 | |
| 226.685 | |
| 230.561 | |
| 232.108 | |
| 237.008 | |
| 241.616 | |
| 245.809 | |
| 247.894 | |
| 257.561 | |
| 268.899 | |
| 286.483 | |
| 297.535 | |
| 298.449 | |
| 369.157 | |
| 394.741 | |
| 399.315 | |
| 418.808 | |
| 429.292 | |
| 432.517 | |
| 440.337 | |
| 462.099 | |
| 466.348 | |
| 493.755 | |
| 550.13 | |
| 557.47 | |
| 630.076 | |
| 655.682 | |
| 663.704 | |
| 680.779 | |
| 712.452 | |
| 725.335 | |
| 736.635 | |
| 745.167 | |
| 828.301 | |
| 838.538 | |
| 849.266 | |
| 938.992 | |
| 1219.983 | |
| 1341.461 | |
| 1417.429 | |
| 1573.936 | |
| 1616.499 | |
| 1902.233 | |
| 2204.275 | |
| 2793.105 | |
| 2828.263 | |
| 2843.073 | |
| 4238.166 | |
| 9072.954 | |
| 57208.766 |
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.