Enterprise Survey 2009
Nepal, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
471
- 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)
1987 (V15)
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 | |
| 0.317 | |
| 0.404 | |
| 2.703 | |
| 3.506 | |
| 3.594 | |
| 3.729 | |
| 5.374 | |
| 6.017 | |
| 7.291 | |
| 8.013 | |
| 8.854 | |
| 8.9 | |
| 10.169 | |
| 10.641 | |
| 11.204 | |
| 11.559 | |
| 13.162 | |
| 13.807 | |
| 15.456 | |
| 15.891 | |
| 19.482 | |
| 20.416 | |
| 23.529 | |
| 29.214 | |
| 29.631 | |
| 30.205 | |
| 31.909 | |
| 34.406 | |
| 37.813 | |
| 38.023 | |
| 43.656 | |
| 44.641 | |
| 47.647 | |
| 49.553 | |
| 52.121 | |
| 66.678 | |
| 69.178 | |
| 78.84 | |
| 86.953 | |
| 88.308 | |
| 91.909 | |
| 98.156 | |
| 99.974 | |
| 101.296 | |
| 101.946 | |
| 108.073 | |
| 109.057 | |
| 112.821 | |
| 117.336 | |
| 124.922 | |
| 129.508 | |
| 130.474 | |
| 131.977 | |
| 133.734 | |
| 134.172 | |
| 135.487 | |
| 136.092 | |
| 141.28 | |
| 150.816 | |
| 150.821 | |
| 154.715 | |
| 157.83 | |
| 158.192 | |
| 163.538 | |
| 164.455 | |
| 166.444 | |
| 168.218 | |
| 168.441 | |
| 172.391 | |
| 174.121 | |
| 201.29 | |
| 207.465 | |
| 212.804 | |
| 230.308 | |
| 232.209 | |
| 261.295 | |
| 263.248 | |
| 302.199 | |
| 306.3 | |
| 311.945 | |
| 314.591 | |
| 318.852 | |
| 337.788 | |
| 339.141 | |
| 345.833 | |
| 358.649 | |
| 364.527 | |
| 425.624 | |
| 427.6 | |
| 437.741 | |
| 472.467 | |
| 491.586 | |
| 502.819 | |
| 516.241 | |
| 520.856 | |
| 524.047 | |
| 540.778 | |
| 561.219 | |
| 664.018 | |
| 751.143 | |
| 784.052 | |
| 844.511 | |
| 948.69 | |
| 970.482 | |
| 1051.221 | |
| 1071.256 | |
| 1117.471 | |
| 1125.756 | |
| 1136.747 | |
| 1471.695 | |
| 1780.908 | |
| 1782.78 | |
| 3615.631 | |
| 3634.873 | |
| 38251.646 |
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.