The Characterisation of Six Natural Resources Production … · Production Systems...
48
The Characterisation of Six Natural Resources Production Systems J. Taylor, M. Tang, C. Beddows, F.M. Quin, M.A. Stocking August 2003
Transcript of The Characterisation of Six Natural Resources Production … · Production Systems...
The Characterisation of Six NaturalResources Production Systems
J. Taylor, M. Tang, C. Beddows, F.M. Quin, M.A. Stocking
August 2003
We wish to thank the following people and projects for supplying the photographs on the front cover:-
John Beeching, Man Fai Tang, projects R6675, R7180, R7872, R7877, R7974
DFIDThis document is an output from a programme funded by the UK Department for International Development(DFID) for the benefit of developing countries. The views expressed are not necessarily those of DFID.
Technical Editors Produced by:Duncan Barker – [email protected] Drakeloe Press, Milton Keynes
Natural Resources Systems Programme
THE CHARACTERISATION OF SIX NATURALRESOURCES PRODUCTION SYSTEMS
J. Taylor, M. Tang, C. Beddows, F.M. Quin, M.A. Stocking
August 2003
Production Systems Characterisation, Section 6 Bibliography
6-1
6 BIBLIOGRAPHY
Adams R, M Adams, A Willens and A Willens, 1978. Dry Lands: Man & Plants. The ArchitecturalPress, London.
Agarwal A and S Narain (Eds.), 1999. The Citizens Fifth Report. Centre for Science & Environment,New Delhi.
Bangladesh Bureau of Statistics, 1999. 1998 Statistical Yearbook of Bangladesh. Government ofBangladesh, Dhaka.
Bangladesh Bureau of Statistics, 1999. Census of Agriculture – 1996. Government of Bangladesh,Dhaka.
Bangladesh Bureau of Statistics, 2000, www.bangla.net/ndb/data-sheet/DEMO_DATA.htm
Bourn D and R Blench (eds), 1999. Can Livestock and Wildlife Co-exist? An InterdisciplinaryApproach. ODI, London.
Davis H, 1973. Tropical Africa: An Atlas for Rural Development. University of Wales Press, Cardiff.
Central Bureau of Statistics, 1991. Statistical Yearbook of Nepal 1991. Central Bureau of Statistics,Kathmandu.
Central Statistical Organisation Department of Statistics, 1998. Statistical Abstract India 1997.Government of India, New Delhi.
Census India, 2000. www.censusindia.net
CGIAR, 2000. www.cgiar.org/icrisat/text/pubs/ir97
CGIAR, 2000. www.cgiar.org/icrisat/text/research/nrmp/indpsystems.asp
CGIAR, 2000. www.cgiar.org/icrisat/text/research/nrmp/lgpind.asp
Economic Commission for Latin America & the Caribbean, 1999. Statistical Yearbook for LatinAmerica and the Caribbean. United Nations, New York.
Economist Intelligence Unit, 1993. Country Profile: Brazil. EIU, London.
Economist Intelligence Unit, 1998. Country Profile: Kenya. EIU, London.
Economist Intelligence Unit, 1999. Country Profile: Uganda. EIU, London.
Economist Intelligence Unit, 1998. Country Profile: Zimbabwe. EIU, London.
Europa Publications, 1997. Africa South of the Sahara. Europa Publications Ltd, London.
European Consortium for Agricultural Research in the Tropics, 1999. Formulation and Appraisal of aRegional Programme to Support Agricultural Research in Eastern Africa (Project No. 7ACP.RPR.699). Natural Resources Institute, Chatham.
Eurostat, 1992. Country Profile Uganda 1991. Office for the Official Publications of the EuropeanCommunities, Luxembourg.
Production Systems Characterisation, Section 6 Bibliography
6-2
FAO, 1988. Land Resources Appraisal of Bangladesh for Agricultural Development. Report 2.Agroecological Regions of Bangladesh. BGD/81/035 Technical Report 2. Food and AgricultureOrganisation, Rome, Itlay.
FAO, 2000. www.fao.org
FAO/GIEWS, 2000. http://geoweb.fao.org/GBR/geoWEB
Funk and Wagnalls Knowledge Center, 2000. www.fwkc.com/encyclopedia/low/articles/
GeoCenter, 1994. World Country Map Series: 33264. India (North Eastern Region). Stuttgart.
GeoCenter, 1998. World Country Map Series: 33265. India (Southern Region). Stuttgart.
GeoCenter, 1998. World Country Map Series: 33281. South America (Northern Region). Stuttgart.
GeoCenter, 1998. World Country Map Series: Kenya. Stuttgart.
ICRISAT, 2000. www.cgiar.org/icrisat
International Travel Map, 1995. Zimbabwe (790). International Travel Maps, Vancouver.
International Travel Map, 1996. Uganda (936). International Travel Maps, Vancouver.
International Travel Map, 1998. Ghana (960). 2nd Edition. International Travel Maps, Vancouver.
International Travel Map, 1999. Nepal. 2nd Edition. International Travel Maps, Vancouver.
International Travel Map, 2000. Tanzania. International Travel Maps, Vancouver.
ISNAR, 2000. www.cgiar.org/isnar/programs/pmde/asti/index.htm
National Atlas & Thematic Mapping Organisation, 1996. Water Resources Development Atlas ofIndia. Government of India, Calcutta.
ODA, 1994. Overseas Development Administration: Renewable Natural Resources Research Strategy1995-2005. Final Report of the Research Task Force. May 1994.
ODG, 1982. Population & Health Facilities in Tanzania, Vol. 3 Regional Atlas. ODG, Norwich.
Tabor S, W Janssen & H Bruneau, 1998. Financing Agricultural Research: A Sourcebook. ISNARThe Hague.
Times Books, 1997. Times Atlas of the World: Comprehensive Edition. Times Books, London.
UN, 2000. www.un.org/Depts/unsd/demog/
UN, 1999. Demographic Yearbook 1997. United Nations, New York.
UN Dept of Economic and Social Affairs Statistics Division, 2000. Population and Vital Statistics,Series A, Vol. LII, No. 1.
UN Economic & Social Commission for Asia & the Pacific, 1981. Country Monograph Series No. 8:Population of Bangladesh. United Nations, New York.
UNDP, 1999. Human Development Report 1999, Oxford University Press, Oxford.
Production Systems Characterisation, Section 6 Bibliography
6-3
University of Pennsylvania, 2000. www.sas.upen.edu/African_Studies/CIA_Maps/
University of Texas, 2000. www.lib.utexas.edu/Lib/PCL/Map_collection/
US Government Service, 2000. www.grid2.cr.usgs.gov.index.html
World Commission on Forests & Sustainable Development, 1999. Our Forests, Our Future.Cambridge University Press, Cambridge.
World Health Organisation, 2000. www.who.int
Xist.org, 2000. www.xist.org
Yadav J and J Singh, 2000. Natural Resource Management for Agricultural Production in India.Indian Society of Soil Science, New Delhi.
Production Systems Characterisation Appendices
App-1
APPENDICES CONTENTS
PageNotes on Appendices App-2
Appendix 1 Production System (PS) data and information App-4 to 21Master Summary Sheet, all Production Systems App-4
Country Characteristics for Specific PSs13:
Bangladesh App-5Bolivia App-6Brazil App-7Caribbean App-8Ghana App-9India App-10Kenya App-11Nepal App-13Tanzania App-14Uganda App-15Zimbabwe App-16Bangladesh Supplement App-17India Supplement App-19Nepal Supplement App-21
Appendix 2 App-22 to 28Characterisation Criterion Score Version 1 App-22Characterisation Criterion Score Version 2 App-23Characterisation Criterion Score Version 3 App-24Simple Scores Weighted 1 App-25Simple Scores Weighted 2 App-26Simple Scores Weighted 3 App-27
Simple Scoring
Simple Scoring Summary App-28Appendix 3 Relative Scoring (Double Counted) App-29 to 35
Relative Characterisation Score Version 1 App-29Relative Characterisation Score Version 2 App-30Relative Characterisation Score Version 3 App-31Relative Scores Weighted 1 App-32Relative Scores Weighted 2 App-33Relative Scores Weighted 3 App-34Relative Scores Summary App-35
Appendix 4 Adjusted Relative Scoring App-36 to 42
Adjusted Characterisation Score Version 1 App-36Adjusted Characterisation Score Version 2 App-37Adjusted Characterisation Score Version 3 App-38Adjusted Relative Scores Weighted 1 App-39Adjusted Relative Scores Weighted 2 App-40Adjusted Relative Scores Weighted 3 App-41Adjusted Relative Scores Summary App-42
13 / The specific Production Systems for each Target Country are identified with a red-filled column header cell.
Production Systems Characterisation Appendices
App-2
NOTES ON APPENDICES
APPENDIX 1 – TARGET COUNTRY PS CHARACTERISTICSThe basic data and information for the characterisation criteria were assembled in one ExcelWorkbook with sheets assigned for each Target Country and their specified Production Systems (PSs)(see Appendix 1, pages App-5 to App-16 and supplementary sheets App-17 to App-21).
As explained in the main text (Section 3), the PSs are not rigid entities and determining their extent interms of land area is dependent on what limits (e.g., for rainfall, length of growing period, and/or soiltype) are applied. In some countries more than one definition of a specific PS was considered. Dataand information were assembled for these alternatives, designated in parenthesis (1), (2) etc. Whendata and information were combined for a specific PS across the relevant target countries, theseoptions were taken forward, leading to three possible versions for comparisons between PSs, assummarised in the table below.
The combined data and information for each PS definition that was considered are summarised in onePS Master Summary Sheet (see Appendix 1, page App-4).
Versions Production Systems
Version 1 HP(1) HS SA(1) FA(2) LW(1) PU
Version 2 HP(2) HS SA(2) FA(1) LW(2) PU
Version 3 HP(1) HS SA(1) FA(1) LW(3) PU
The different production system definitions that were applied in making PS combinations acrosscountries were:
HP(1) Uses narrower definition of the High Potential PS in India (keeping to land below 150 metreselevation) plus single definitions specific to Kenya and Bangladesh respectively.
HP(2) Uses wider definition of the High Potential PS in India (including land of 1-500 metreselevation) plus single definitions specific to Kenya and Bangladesh respectively.
HS Uses only one wider definition of the Hillsides PS for Bolivia (HS(3), see App-6) plus singledefinitions specific to Uganda and Nepal respectively. (Details of HS(1) and HS(2) are givenfor Bolivia on page App-6).
SA(1) Uses rainfall based definition of the Semi-Arid PS for Tanzania (300-900 mm rainfall) andtakes areas defined as dry and moist semi-arid in India plus a single definition for Zimbabwe.
SA(2) Uses LGP based definition of Semi-Arid PS for Tanzania (3-6 months) and takes areasdefined as dry and moist semi-arid and dry sub-humid in India plus a single definition forZimbabwe.
FA(1) Uses land area with 9-10 months LGP plus single definitions specific to Brazil and Nepalrespectively.
FA(2) Uses land area with 8 months LGP plus single definitions specific to Brazil and Nepalrespectively.
LW(1) Inland definition: Uses seasonally wetland areas of Bangladesh inland floodplains and LakeKyoga margins with its drainage line into Lake Victoria, Uganda.
LW(2) Definition best aligned with current LW geographic scope: Uses Bangladesh (inland andcoastal) and selected parts of the Caribbean region.
LW(3) Takes only the Bangladesh LWI (inland floodplains and coastal tidal floodplains).
PU Uses selected city regions of Ghana and India
Production Systems Characterisation Appendices
App-3
APPENDIX 2 – SIMPLE SCORING
This annex utilises the summated data in the PS Master Summary Sheet of Appendix 1 (see pageApp-4) and generates data matrices of criteria by PSs for each version of the PS comparisons, asdefined in the table above (see page App-2). Within each PS version (see pages App-22 to App-24),the values for each criterion are ranked across the PSs by scoring the values on a scale of 1 to 6where:
6 = Greatest need (largest land area; most people; worst market feasibility [least roads &large towns]; worst potential [greatest distance to major outlets & leastproduction]; most acute poverty status [lowest GDP, literacy rate & childwt for ht]; weakest NR knowledge base [least funds and human resources)
1 = Least need (smallest land area; least people; best market feasibility; best potential;least acute poverty status; strongest NR knowledge base)
For each PS comparison version, the rank scores (called ‘simple scoring’) for each criterion areconverted to weighted scores for five weighting scenarios and a total weighted simple score isgenerated for each PS and each weighting scenario (see App-25 to App-27) where each total weightedsimple score (the Weighted Importance Score [WIS]) is calculated as:
WIS = ([score]x[weight]Criterion 1)+ ([score]x[weight]Criterion 2) ... +(([score]x[weight]Criterion 6)
All weighted simple score totals (for three PS versions by five weighting scenarios) are thensummarised and an overall assessment is made of the implications of these scores for proportionalbudget allocations to the PSs (see App-28).
APPENDIX 3 – RELATIVE SCORING
This annex uses the same data matrices as Appendix 2, App-22 to App-42, but ranks the data for eachcriterion using relative scoring. Because the simple scoring method assigns discrete rank scores (the‘need scale’ of 1 to 6), it does not do justice to criterion data that have numerically close values.Therefore Appendix 3 applies a relative scoring system in which a score of ‘1’ is assigned to the‘greatest need’ figure (i.e., the criterion value looking across PSs that had scored the highest rankscore on the 1-6 scale of need assessment). The criterion values for all other PSs are then expressed asa fraction relative to the criterion value of the PS scored as the ‘greatest need’ (see App-29 to App-31).
As with the simple scoring method, the proportional scores are then converted to weighted scores forthe same five weighting scenarios used in Appendix 2 (see App-32 to App-34). The total weightedscores (three PS versions by five weighting scenarios) are then summarised and an overall assessmentis made of the implications of the scores for proportional budget allocations to the PSs (see App-35).
APPENDIX 4 – RELATIVE SCORING (WITH CORRECTIONS FORDOUBLE COUNTING)
Two production systems are addressed in the target countries of Bangladesh and Nepal (see Appendix1, pages App-5 and App-13 respectively). This gives rise to double counting of the populations whencomparing in the HP and LW PSs (in the case of Bangladesh) and the HS and FA PSs (in the case ofNepal). In Appendix 4, corrections are applied for this double counting and the scoring is thenreworked following the relative scoring method that was applied in Appendix 3 (see pages App-36 toApp-38). As in Appendix 3, the proportional scores are then converted to weighted scores for the fiveweighting scenarios used in Appendix 2 (see App-39 to App-41). As in Appendices 2 and 3, the totalweighted scores are then summarised and an overall assessment is made of the implications of thescores for proportional budget allocations to the PSs (see App-42).
Grading to:
AP
PE
ND
IX 1
PR
OD
UC
TIO
N S
YS
TE
MS
CH
AR
AC
TE
RIS
AT
ION
MA
ST
ER
SU
MM
AR
Y S
HE
ET
By
Pro
du
ctio
n S
yste
m (
PS
) d
efin
itio
n:
HP
(1)
HP
(2)
HS
SA
(1)
SA
(2)
FA
(1)
FA
(2)
LW
(1)
LW
(2)
LW
(3)
PU
Land
are
a (k
m2 )
521,
307
695,
117
278,
927
1,50
5,33
22,
242,
353
386,
480
374,
472
153,
362
187,
483
124,
149
Hum
an p
opul
atio
n: T
otal
268,
165,
453
348,
324,
325
18,2
34,5
2033
7,14
4,82
055
1,16
9,25
722
,558
,595
17,6
61,4
4888
,410
,065
103,
181,
200
98,0
55,2
00
42,8
46,2
39
R
ural
(m
etro
polit
an m
inus
city
pop
'tn fo
r P
UI)
201,
480,
731
260,
798,
296
14,9
13,8
9624
9,17
2,03
240
7,63
2,64
515
,685
,378
12,5
90,3
8070
,690
,251
79,7
70,3
0877
,463
,608
26,1
33,1
53
U
rban
66,6
84,7
2287
,526
,029
3,32
0,62
387
,972
,788
143,
536,
612
6,87
3,21
75,
071,
067
17,7
19,8
1423
,410
,892
20,5
91,5
9216
,713
,086
Mar
ket
infr
astr
uct
ure
:M
ean
road
den
sity
4.
174.
171.
673.
173.
502.
331.
674.
004.
334.
005.
00M
ean
mar
ket d
eman
d as
sess
men
t (la
rge
tow
ns/1
000
sqkm
of P
S)
0.10
0.10
0.15
0.03
0.03
0.10
0.11
0.21
0.11
0.14
n/a
Po
ten
tial
:A
sses
smen
t of e
xpor
t pot
entia
l (m
ean
max
dis
t.to
maj
or to
wn
[km
])13
3.33
133.
3396
.67
183.
3320
0.00
166.
6718
3.33
80.0
083
.33
100.
00n/
aLa
nd p
rodu
ctiv
ity p
oten
tial (
mea
n)4.
004.
172.
17
2.83
1.83
1.83
4.50
5.00
5.00
n/a
Po
vert
y st
atu
s (N
atio
nal
dat
a):
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
(w
eigh
ted)
1452
1502
1556
1653
1644
2157
2301
1050
1160
1050
1667
Lite
racy
rat
e %
(19
97, w
eigh
ted)
51.3
151
.82
49.9
654
.60
54.4
554
.34
49.7
538
.90
40.1
938
.90
54.6
3H
arva
rd s
cale
dat
a:%
chi
ldre
n w
ith a
ccep
tabl
e w
eigh
t/hei
ght (
wei
ghte
d)56
.30
55.7
763
.42
55.4
055
.46
60.2
755
.78
57.0
058
.01
57.0
053
.38
NR
kn
ow
led
ge
bas
e (N
atio
nal
dat
a):
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs (
1991
): %
BS
c86
.51
86.5
1D
egre
e le
vel o
f nat
iona
l res
earc
hers
(19
91):
% M
Sc
9.06
9.06
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs (
1991
): %
PhD
4.43
4.43
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
(w
eigh
ted)
0.15
390.
1539
0.15
450.
1545
0.09
610.
0961
0.15
29N
R R
esea
rch
Sci
entis
ts (
1991
) pe
r P
S p
opul
atio
n24
9128
8918
8530
4914
877
249
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
109
66
74
6
data
not
ava
ilabl
eto
o fe
w d
ata
for
mea
ning
ful c
alcu
latio
n
Prim
ary
and
seco
ndar
y pa
ved
road
s.Sc
ale
5 =
den
se, 1
=sp
arse
.
'Rea
l GD
P pe
r ca
pita
' fro
m U
ND
P 19
99.
Nat
iona
l dat
a on
ly.
Def
initi
on o
f 'la
rge'
is r
elat
ive
to t
he c
ount
ry.
Use
s na
rrow
er
defin
tion
of s
emi-
arid
for
Tan
zani
a an
d In
dia
plus
Zi
mba
bwe.
Use
s th
e w
ider
de
finiti
on o
f Bo
livia
n H
S pl
us
Uga
nda
and
Nep
al.
Use
s w
ider
de
finiti
on o
f In
dia
HP
plus
Ke
nya
and
Bang
lade
sh.
Use
s na
rrow
er
defin
ition
of
Indi
a H
P pl
us K
enya
an
d Ba
ngla
desh
.
Use
s w
ider
sem
i-ar
id d
efin
ition
fo
r In
dia
and
Tanz
ania
plu
s Zi
mba
bwe.
Use
s G
hana
la
nd a
rea
with
9
mth
s LG
P pl
us B
razi
l and
N
epal
.
Use
s G
hana
la
nd a
rea
with
8
mth
s LG
P pl
us
Braz
il an
d N
epal
.
Base
d on
wei
ghte
d av
erag
e fo
r G
hana
and
N
epal
onl
y
Base
d on
wei
ghte
d av
erag
e fo
r G
hana
and
Nep
al o
nly.
No
data
for
Tan
zani
a
No
data
for
Tan
zani
a.
No
data
for
N
epal
.
No
data
for
N
epal
.
No
data
for
Nep
al.
No
data
for
Nep
al.
No
data
for
Nep
al.
Scal
e: %
con
trib
utio
n to
nat
iona
l pr
oduc
tion:
5 =
80
- 10
0,4
= 6
0 -
80, 3
= 4
0 -
602
= 2
0 -
40, 1
= 0
-20
Key
agric
ultu
ral,
fore
stry
, to
uris
m e
tc
prod
ucts
.
No
data
for
Nep
al.
Use
s in
land
wet
land
s (B
angl
ades
h &
Uga
nda)
Use
s Ba
ngla
desh
onl
y
Wei
ghte
d av
erag
es b
y to
tal
hum
an p
opul
atio
n pe
r PS
with
in
each
app
licab
le t
arge
t co
untr
y.
LW a
s of
mid
-200
0. U
ses
Bang
lade
sh &
Car
ibbe
an
App-4
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
BA
NG
LA
DE
SH
HP
HS
SA
FA
LW
(1)
LW
(2)
PU
Nat
ion
alS
ou
rce
No
tes
Nat
ion
al d
ata:
Land
are
a (k
m2)
1385
07E
SR
I 98
Dha
ka34
3031
2H
uman
pop
ulat
ion:
Tot
al12
2569
000
UN
mid
98
Khu
lna
6483
59
Rur
al
96
3392
34C
hitta
gong
1391
877
U
rban
2622
9766
HD
R d
ata
1999
PS
dat
a:N
at p
op12
2700
000
Land
are
a (k
m2)
1038
2710
3827
2032
2%
urba
n21
.4H
uman
pop
ulat
ion:
Tot
al77
8313
1577
8313
1520
2238
85
Rur
al
61
4867
3961
4867
3915
9768
69E
SR
I 98
1207
3220
0
Urb
an16
3445
7616
3445
7642
4701
6M
arke
t inf
rast
ruct
ure:
UN
ES
CA
P 1
981:
Roa
d de
nsity
(km
roa
ds p
er P
S o
n 5
pt s
cale
)4
44
Chi
ttago
ng H
ill T
ract
sM
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
1637
30.
1637
30.
8365
3re
gion
- 2
0% o
f pop
Ass
essm
ent o
f exp
ort p
oten
tial (
mid
poi
nt o
f PS
to m
ajor
city
[km
])10
010
010
0La
nd p
rodu
ctiv
ity p
oten
tial
5
55
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
1050
1050
1050
1050
UN
DP
1999
L
itera
cy r
ate
% (
1997
, nat
iona
l)38
.938
.938
.938
.9U
ND
P19
99
Har
vard
sca
le d
ata
%
chi
ldre
n w
ith a
cept
able
wei
ght/h
eigh
t to
age
5757
57N
R k
now
ledg
e ba
seN
R k
now
ledg
e ba
se (
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs)
: % B
Sc
%
MS
c
% P
hDA
gric
ultu
ral R
esea
rch:
No
of s
cien
tists
(19
91)
1650
1650
1650
S
hare
of G
DP
to A
g R
(19
91)
0.11
0.11
0.11
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
8172
2880
750
8172
2880
750
2123
5079
250
L
it30
2763
8154
3027
6381
5478
6709
126.
5
Wei
ght/h
eigh
t44
3638
4955
4436
3849
5511
5276
1445
GD
P n
atio
nal
1.28
697E
+11
1.28
697E
+11
1.28
697E
+11
GD
P o
n A
g14
1567
195
1415
6719
514
1567
195
Sci
per
1 m
illio
n na
tiona
l pop
ulat
ion
13.4
6180
519
13.4
6180
519
13.4
6180
519
Sci
per
PS
pop
ulat
ion
1047
.75
1047
.75
272.
25W
eigh
ted
degr
ee B
Sc
Wei
ghte
d de
gree
MS
cW
eigh
ted
degr
ee P
hD
Sam
e ar
ea a
s H
P.Th
e in
land
flo
odpl
ain.
Co
asta
l tid
al
flood
palin
& C
hitt
agon
g re
gion
exc
lude
d.
All l
and
belo
w 1
00m
ele
vatio
n.
Live
lihoo
ds a
re p
redo
min
atel
y re
late
d to
th
e LW
I.
Sam
e ar
ea a
s LW
I.Al
luvi
al a
rea
supp
ortin
g la
rge
popu
latio
n.
75%
of
tota
l lan
d ar
ea
'Rea
l GD
P pe
r ca
pita
' fro
m
UN
DP
1999
.
Adul
t lit
erac
y ra
te 1
997
from
UN
DP
1999
.
63.5
% o
f to
tal p
opul
atio
n to
ex
clud
e H
ill T
ract
reg
ion
of
Chitt
agon
g di
stric
t an
d th
e co
asta
l zon
e.
79%
of
popu
latio
n ac
cord
ing
to H
DR d
ata.
21%
of
popu
latio
n ac
cord
ing
to H
DR
data
.
63.5
% o
f to
tal p
opul
atio
n to
exc
lude
Hill
Tra
ct r
egio
n of
Chi
ttag
ong
dist
rict
and
the
coas
tal z
one.
79%
of
popu
latio
n ac
cord
ing
to H
DR d
ata.
21%
of
popu
latio
n ac
cord
ing
to H
DR d
ata.
UN
list
ed c
ities
of
>10
0,00
0: B
aris
al, Co
mill
a,
Dha
ka, D
inaj
pur,
Jam
alpu
r,
Jess
ore,
Khu
lna,
M
ymen
sing
h, N
aoga
on,
Nar
ayan
ganj
, N
awab
ganj
, Pa
bna,
Raj
shab
i, Ran
gpur
, Sa
idpu
r, T
anga
il, T
ongi
.
UN
list
ed c
ities
of
>10
0,00
0: B
aris
al, Co
mill
a, D
haka
, D
inaj
pur,
Jam
alpu
r, J
esso
re, Kh
ulna
, M
ymen
sing
h,
Nao
gaon
, N
aray
anga
nj, N
awab
ganj
, Pa
bna,
Raj
shab
i, Ran
gpur
, Sa
idpu
r, T
anga
il, T
ongi
.
Roa
d de
nsity
sca
le:
5=de
nse,
1=
spar
se.
Hei
ght/
wei
ght
only
.
1991
dat
a.
Bang
lade
sh B
urea
u of
Sta
tistic
s 19
99 li
nk
http
://w
ww
.ban
gla.
net/
ndb/
dat
a-sh
eet/
DEM
O_D
ATA.
htm
Coas
tal a
rea
-- t
he G
ange
s Ti
dal
Floo
dpla
in (
incl
udes
Kul
na S
unde
rban
s an
d sa
line
area
s of
the
You
ng M
eghn
a Riv
er F
lood
plai
n.
15%
of
tota
l lan
d ar
ea.
16.5
% o
f to
tal p
opul
atio
n
79%
of
popu
latio
n ac
cord
ing
to H
DR d
ata.
21%
of
popu
latio
n ac
cord
ing
to H
DR d
ata.
UN
list
ed c
ities
of
>10
0,00
0: B
aris
al, Co
mill
a,
Dha
ka, D
inaj
pur,
Jam
alpu
r, J
esso
re, Kh
ulna
, M
ymen
sing
h, N
aoga
on, N
aray
anga
nj, N
awab
ganj
, Pa
bna,
Raj
shab
i, Ran
gpur
, Sa
idpu
r, T
anga
il, T
ongi
.
75%
of
tota
l lan
d ar
ea.
App-5
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
BO
LIV
IAH
PH
S (
1)H
S (
2)H
S (
3)S
AF
AL
WP
UN
atio
nal
So
urc
eN
ote
sN
atio
nal
dat
a:La
nd a
rea
(km
2)10
9035
3E
SR
I 98
La P
az99
2592
Coc
haba
mb
4580
00P
otos
i11
8000
Hum
an p
opul
atio
n: T
otal
7950
000
UN
mid
98
Suc
re14
9000
El A
lto52
7000
Tar
ija10
4000
R
ural
2997
150
S C
ruz
8330
00O
ruro
1940
00
Urb
an49
5285
0V
alle
ys te
mpe
rate
and
sub
trop
ical
100
0-35
00m
2132
87km
2 19
.4%
of l
and
area
PS
dat
a:34
2806
9 po
p 53
.4%
of t
otal
Land
are
a (k
m2)
7789
110
5694
1835
8520
2081
1 ur
ban
31.4
% o
f tot
alH
uman
pop
ulat
ion:
Tot
al42
1350
014
0725
8 ru
ral 2
1.9%
of t
otal
R
ural
2464
500
Sou
rce:
CID
in
Urb
an17
4900
0M
arke
t inf
rast
ruct
ure:
CID
dat
a (1
994)
:R
oad
dens
ity (
km r
oads
per
PS
on
5 pt
sca
le)
12
3T
otal
pop
6420
792
Mar
ket d
eman
d as
sess
men
t (to
wns
> 1
00,0
00po
p/ 1
000s
qkm
of P
S)
0.05
677
0.03
268
Urb
an p
op36
9484
6A
sses
smen
t of e
xpor
t pot
entia
l (m
id p
oint
of P
S to
maj
or c
ity [k
m])
150
150
150
Rur
al p
op27
2594
6La
nd p
rodu
ctiv
ity p
oten
tial
2P
over
ty s
tatu
s: A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)28
8028
8028
8028
80U
ND
P19
99H
DR
dat
a 19
99
Lite
racy
rat
e %
(19
97, n
atio
nal)
83.6
83.6
83.6
83.6
UN
DP
1999
Nat
pop
7800
000
H
arva
rd s
cale
dat
a%
urba
n62
.3
% c
hild
ren
with
acc
epta
ble
wei
ght/h
eigh
t to
age
9393
93N
R k
now
ledg
e ba
seN
R k
now
ledg
e ba
se (
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs)
: % B
Sc
17.4
17.4
17.4
ES
RI 9
876
4831
5
% M
Sc
5454
540.
4
% P
hD28
.628
.628
.6A
gric
ultu
ral R
esea
rch:
No
of s
cien
tists
(19
91)
115
115
115
S
hare
of G
DP
to A
g R
(19
91)
0.02
0.02
0.02
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
1213
4880
000
L
it35
2248
600
W
eigh
t/heo
ght
3918
5550
0G
DP
nat
iona
l22
8960
0000
0G
DP
on
Ag
4579
200
Sci
per
1 m
illio
n na
tiona
l pop
ulat
ion
14.4
6540
881
Sci
per
PS
pop
ulat
ion
60.9
5W
eigh
ted
degr
ee B
Sc
20.0
1W
eigh
ted
degr
ee M
Sc
62.1
Wei
ghte
d de
gree
PhD
32.8
9
Sub-
syst
em 1
: 10
00-
2000
m a
ltitu
de.
Subt
ropi
cal v
alle
ys.
Rai
nfal
l 100
0-30
00m
m
Sub-
syst
em 2
: 2
000-
3500
m a
ltitu
de.
Tem
pera
te v
alle
ys.
Rai
nfal
l 400
-100
0mm
.
Syst
em 3
: 10
00-3
500m
alti
tude
.Va
lley
AEZ
as d
istin
ct f
rom
the
lo
wla
nds
and
the
altip
lano
.Su
m o
f su
b-sy
stem
s 1
& 2
.
7% o
f to
tal l
and
area 10
% o
f to
tal l
and
area
.17
% o
f to
tal l
and
area
.Co
mpa
re w
ith
CID
dat
a gi
ving
213
287
sq k
m a
nd
19%
of
land
are
a fo
r th
is
zone
.
53%
of
tota
l pop
ulat
ion.
(199
4 CI
D d
ata)
app
lied
to
1998
UN
est
imat
e fo
r to
tal
popu
latio
n.
31%
of
tota
l pop
ulat
ion.
(199
4 CI
D d
ata)
app
lied
to U
N d
ata.
22%
of
tota
l pop
ulat
ion.
(199
4 CI
D d
ata)
app
lied
to U
N d
ata.
'Rea
l GD
P pe
r ca
pita
' fro
m
UN
DP
1999
.
Adul
t lit
erac
y ra
te 1
997
from
U
ND
P 19
99.
No
maj
or
tow
ns in
ta
rget
are
a.
Maj
or t
owns
in t
arge
t ar
ea:
Coch
abam
ba, La
Pa
z, P
otos
i, Sa
nta
Cruz
, Su
cre,
Tar
ija.
Maj
or t
owns
in t
arge
t ar
ea:
Coch
abam
ba, La
Pa
z, P
otos
i, Sa
nta
Cruz
, Su
cre,
Tar
ija.
Roa
d de
nsity
sca
le:
5=de
nse,
1=
spar
se.
App-6
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
BR
AZ
ILH
PH
SS
AF
AL
WP
UN
atio
nal
So
urc
eN
ote
sN
atio
nal
dat
a:La
nd a
rea
(km
2)85
0712
8E
SR
I 98
Bel
em12
0000
0H
uman
pop
ulat
ion:
Tot
al16
1790
000
UN
mid
98
San
tare
m22
6618
R
ural
3300
5160
Man
aus
8099
14
Urb
an12
8784
840
Por
to V
elh o
2020
11C
uiab
a27
9651
PS
dat
a:G
oian
ia99
0000
Land
are
a (k
m2)
2379
27B
rasi
lia15
6770
9H
uman
pop
ulat
ion:
Tot
al37
6969
8C
uriti
ba17
0000
0
Rur
al
71
3781
Sao
Pau
lo15
1750
00
Urb
an30
5591
7B
elo
Hor
izo
2950
000
Mar
ket i
nfra
stru
ctur
e:R
io d
e Ja
ne10
1500
00R
oad
dens
ity (
km r
oads
per
PS
on
5 pt
sca
le)
1S
anto
s10
6500
0M
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
0252
2A
sses
smen
t of e
xpor
t pot
entia
l (m
id p
oint
of P
S to
maj
or c
ity [k
m])
300
HD
R d
ata
1999
Land
pro
duct
ivity
pot
entia
l 1
Nat
pop
1637
0000
0P
over
ty s
tatu
s: A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)64
8064
80U
ND
P19
99%
urba
n79
.6
Lite
racy
rat
e %
(19
97, n
atio
nal)
8484
UN
DP
1999
H
arva
rd s
cale
dat
aE
SR
I 98
1515
2540
0
% c
hild
ren
with
acc
epta
ble
wei
ght/h
eigh
t to
age
NR
kno
wle
dge
base
NR
kno
wle
dge
base
(D
egre
e le
vel o
f nat
iona
l res
earc
hers
) : %
BS
c94
22P
op o
f sta
tes
1990
EIU
Tar
get a
rea
%
MS
c4.
30.
2R
ondo
nia
8893
3 pe
r sq
km
% P
hD1.
7A
cre
1096
7137
81A
gric
ultu
ral R
esea
rch:
No
of s
cien
tists
(19
91)
2097
Am
azon
as41
7pl
us c
ities
S
hare
of G
DP
to A
g R
(19
91)
0.09
Ror
aim
a20
02C
alcu
latio
ns fo
r w
eigh
ts o
n su
mm
ary
page
: GD
P24
4276
4304
0P
ara
120
L
it31
6654
632
Am
apa
5002
W
eigh
t/hei
ght
0C
ities
1993
UN
GD
P n
atio
nal
1.04
84E
+12
Bel
em12
9759
2G
DP
on
Ag
9435
5928
0m
anau
s10
7827
7S
ci p
er 1
mill
ion
natio
nal p
opul
atio
n12
.961
2460
6C
arei
roS
ci p
er P
S p
opul
atio
n48
.859
9833
5S
anta
rem
2774
82W
eigh
ted
degr
ee B
Sc
1971
.18
Itaitu
ba10
2852
Wei
ghte
d de
gree
MS
c90
.171
Alta
mira
1204
41W
eigh
ted
degr
ee P
hD35
.649
Mac
apa
1792
73T
ot30
5591
7
East
ern
Amaz
ioni
a fr
om B
elem
to
Man
aus.
Low
land
cor
ridor
alo
ng A
maz
on a
nd t
ribut
arie
s.In
tera
ctio
n of
tem
pera
ture
, el
evat
ion
and
agric
ultu
ral
activ
ity.
Low
land
for
est
clea
ranc
e zo
ne.
3% o
f to
tal l
and
area
.
'Rea
l GD
P pe
r ca
pita
' fr
om U
ND
P 19
99.
Adul
t lit
erac
y ra
te 1
997
from
UN
DP
1999
.
Base
d on
pop
ulat
ion
dens
ity
of 3
peo
ple
per
sq k
m f
or
targ
et a
rea.
Base
d on
tot
al o
f U
N d
ata
for
citie
s w
ith m
ore
than
100
,000
inha
bita
nts:
Bel
em, M
anau
s,
Sant
arem
, It
aitu
ba, Al
tam
ira
and
Mac
apa.
Tota
l of
estim
ated
rur
al a
nd
urba
n po
pula
tions
.2%
of
tota
l pop
ulat
ion.
Tow
ns >
100,
000
in t
arge
t ar
ea:
Alta
mira
, Be
lem
, It
aitu
ba,
Mac
apa,
Man
aus,
San
tare
m.
Roa
d de
nsity
sca
le:
5=de
nse,
1=
spar
se.
1991
dat
a.
App-7
A
PP
EN
DIX
1T
AR
GE
T C
OU
NT
RY
PS
CH
AR
AC
TE
RIS
TIC
S
CA
RIB
BE
AN
HP
HS
SA
FA
LW
PU
Nat
ion
alS
ou
rce
No
tes
Nat
ion
al d
ata:
CA
RE
Land
are
a (k
m2)
25
82
70
Use
DF
ID d
efin
itio
n o
f C
ari
bb
ea
n?
?H
um
an
po
pu
latio
n:
To
tal
57
01
00
0F
rom
DF
ID-R
NR
RS
-NR
SP
Rep
ort R
7111
Rur
al
L
WI
Pro
du
ctio
n S
yste
ms:
So
urc
e C
IA W
orl
d F
act
bo
ok
19
96
Urb
anS
tate
Are
a (k
m2)
Po
pR
oa
ds
Pa
ved
No
t p
ave
dA
ng
uill
a9
11
00
00
10
56
54
0P
S d
ata:
An
tigu
a &
B4
40
66
00
02
50
Land
are
a (k
m2)
63
33
4B
arb
ad
os
43
02
57
00
01
65
01
58
26
8H
um
an
po
pu
latio
n:
To
tal
51
26
00
0B
VI
15
01
30
00
11
3
R
ural
23
06
70
0C
aym
an
Is
26
03
50
00
40
63
04
10
2
U
rban
28
19
30
0D
om
inic
a7
50
83
00
07
80
39
33
87
Ma
rke
t in
fra
stru
ctu
re:
Gre
nada
34
09
50
00
10
40
63
84
02
Ro
ad
de
nsi
ty (
km r
oa
ds
pe
r sq
km o
f P
S o
n 5
pt
sca
le)
5G
uya
na
21
49
70
71
20
00
79
70
59
07
98
0M
ark
et
de
ma
nd
ass
ess
me
nt
(to
wn
s> 1
00
,00
0p
op
/ 1
00
0sq
km o
f P
S)
0.0
47
37
Jam
aic
a1
09
90
25
95
00
01
87
00
13
10
05
60
0A
sse
ssm
en
t o
f e
xpo
rt p
ote
ntia
l (m
id p
oin
t o
f P
S t
o m
ajo
r ci
ty [
km])
50
Mo
nts
err
at
10
01
30
00
26
92
03
66
La
nd
pro
du
ctiv
ity p
ote
ntia
l 5
St
K &
N2
69
41
00
03
20
13
61
84
Po
vert
y st
atu
s: A
vera
ge
GD
P (
US
D p
er
an
nu
m p
er
cap
ita,1
99
7)
48
69
48
69
St
Lu
cia
62
01
58
00
01
21
06
31
14
7
Lite
racy
rat
e %
(19
97,
natio
nal)
83
.48
3.4
St
V &
G3
40
11
80
00
10
40
32
07
20
H
arva
rd s
cale
dat
aT
& T
51
30
12
72
00
08
32
04
25
24
06
8
% c
hild
ren
with
acc
epta
ble
wei
ght/
heig
ht t
o ag
e9
2T
urks
& C
43
01
40
00
12
12
49
7N
R k
no
wle
dg
e b
ase
Su
b t
ota
l2
35
31
05
48
20
00
42
29
4N
R k
no
wle
dg
e b
ase
(D
eg
ree
le
vel
of
na
tion
al
rese
arc
he
rs)
: %
BS
c
% M
Sc
Gu
yan
a a
d1
71
97
63
56
00
0
% P
hDT
ota
l6
33
34
51
26
00
0A
gri
cultu
ral
Re
sea
rch
: N
o o
f sc
ien
tists
(1
99
1)
Sha
re o
f G
DP
to
Ag
R (
1991
)K
ing
sto
n7
00
kC
alc
ula
tion
s fo
r w
eig
hts
on
su
mm
ary
pa
ge
: G
DP
24
95
84
94
00
0G
eorg
etow
n20
0k
Lit
42
75
08
40
0P
of
Sp
ain
Wei
ght/h
eigh
t4
71
59
20
00
Vario
us d
efin
ition
s of
Car
ibbe
an:
ie s
mal
l isl
ands
of th
e CA
RIF
ORU
M c
ount
ries,
CAR
ICO
M p
lus
UK
depe
nden
cies
.D
efin
ition
use
d is
the
latt
er b
ut e
xclu
ding
the
CAR
ICO
M m
embe
rs B
aham
as, H
aiti
and
Surin
ame.
The
coun
trie
s/st
ates
/ter
ritor
ies
incl
uded
her
e ar
e th
eref
ore:
Angu
illa,
Ant
igua
& B
arbu
da, B
arba
dos,
BV
I, C
aym
an I
s., D
omin
ica,
Gre
nada
, G
uyan
a, J
amai
ca, M
onts
erra
t, S
t Ki
tts
& N
evis
, St
Luc
ia, St
Vi
ncen
t &
the
Gre
nadi
nes,
Trin
idad
& T
obag
o, T
urks
& C
aico
s Is
.
Targ
et a
rea:
all
of is
land
s an
d co
asta
l zon
e of
mai
nlan
d G
uyan
a.
'Rea
l GD
P pe
r ca
pita
' fr
om U
ND
P 19
99.
Adul
t lit
erac
y ra
te 1
997
from
UN
DP
1999
.
Dat
a fr
om N
RSP
R71
11.
Dat
a fr
om N
RSP
R71
11.
Base
d on
sim
ple
aver
age
ofad
ult l
itera
cy d
ata
avai
labl
e (in
depe
nden
t sta
tes
only
)
Wei
ghte
d av
erag
e fo
r G
DP
data
ava
ilabl
e (in
depe
nden
t st
ates
onl
y).
Wei
ghte
d av
erag
e fo
r G
DP
data
ava
ilabl
e (in
depe
nden
t st
ates
onl
y).
Base
d on
sim
ple
aver
age
of
adul
t lite
racy
dat
a av
aila
ble
(inde
pend
ent s
tate
s on
ly).
Tota
l for
tar
get co
untr
ies
min
us 8
0% o
f Guy
ana
land
are
a.To
tal f
or tar
get co
untr
ies
min
us 5
0% o
f Guy
ana
popu
latio
n.
Aver
age
55%
urb
an fo
r ta
rget
cou
ntrie
s fo
r w
hich
da
ta is
ava
ilabl
e.
100k
m for
coa
stal
G
uyan
a,
50km
for
Jam
aica
. 10-
25km
fo
r sm
all i
slan
ds.
Tow
ns >
100,
000
in tar
get ar
ea:
Geo
rget
own,
Kin
gsto
n, P
ort of
Sp
ain.
Siz
e of
mai
n to
wns
var
y ac
cord
ing
to the
siz
e of
the
isla
nd.
This
val
ue is
ver
y di
stor
ted
by the
la
nd a
rea
from
mai
nlan
d G
uyan
a.
20%
50%
Km o
f ro
ads
(all
clas
ses)
for
tar
get
coun
trie
s pe
r sq
km. C
are,
fig
ure
incl
udes
to
tal r
oads
for
Guy
ana
but
tar
get ar
ea
only
incl
udes
coa
stal
zon
es.
Figu
re o
f 44,
542k
m o
f roa
ds u
sed.
5 o
n sc
ale
Dat
a on
ly a
vaila
ble
for:
Dom
inic
a 90
%G
rena
da 9
8%Ja
mai
ca 9
3%Tr
inid
ad &
Tob
ago
90%
Aver
age
take
n fo
r Ja
mai
caan
d T&
T on
ly b
ecau
se o
f re
lativ
e po
pula
tion
size
.
1991
dat
a.
App-8
A
PP
EN
DIX
1T
AR
GE
T C
OU
NT
RY
PS
CH
AR
AC
TE
RIS
TIC
S
GH
AN
AH
PH
SS
AF
A (
1)F
A (
2)L
WP
UN
atio
nal
So
urc
eN
ote
sN
atio
nal
dat
a:La
nd a
rea
(km
2)23
9981
ES
RI 9
8A
ccra
1.2
50.0
00H
uman
pop
ulat
ion:
Tot
al19
1620
00U
N m
id 9
8U
N d
ata
1970
50%
R
ural
1211
0384
Acc
ra
5641
94(7
8349
8)
Urb
an70
5161
6K
umas
i26
0286
(345
117)
Sek
ondi
9187
4(16
0868
)P
S d
ata:
Land
are
a (k
m2)
6712
355
115
HD
R D
ata
1999
Hum
an p
opul
atio
n: T
otal
6831
315
1934
168
3768
000
Nat
pop
1870
000
R
ural
4317
391
1222
394
1280
889
%ur
ban
36.8
U
rban
2513
924
7117
7424
8711
1M
arke
t inf
rast
ruct
ure:
ES
RI 9
816
6980
90R
oad
dens
ity (
km r
oads
per
sqk
m o
f PS
on
5 pt
sca
le)
53
5M
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
1489
80.
1814
4E
urop
a 19
84 d
ata
Sce
nario
1S
cena
rio 2
Ass
essm
ent o
f exp
ort p
oten
tial (
mid
poi
nt o
f PS
to m
ajor
tow
n [k
m])
100
150
Wes
tern
1158
Land
pro
duct
ivity
pot
entia
l1
1C
entr
al11
42P
over
ty s
tatu
s: A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)16
4016
4016
4016
40U
ND
P19
99G
Acc
ra14
31
Lite
racy
rat
e %
(19
97, n
atio
nal)
66.4
66.4
66.4
66.4
UN
DP
1999
Eas
tern
1681
30%
504.
3
Har
vard
sca
le d
ata
Vol
ta12
1250
%60
630
%36
3.6
%
chi
ldre
n w
ith a
ccep
tabl
e w
eigh
t/hei
ght t
o ag
e73
7347
NR
kno
wle
dge
base
(D
egre
e le
vel o
f nat
iona
l res
earc
hers
) : %
BS
c30
3030
Ash
anti
2090
100%
2090
%
MS
c45
4545
Bro
g-A
hafo
1207
100%
1207
25%
301.
75
% P
hD25
2525
Nor
ther
n11
6550
%58
2.5
Agr
icul
tura
l Res
earc
h: N
o of
sci
entis
ts (
1991
)27
827
827
8U
pper
E77
3
Sha
re o
f GD
P to
Ag
R (
1991
)0.
30.
30.
3U
pper
W43
8T
otal
1229
744
07.3
1247
.85
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
1120
3356
600
3172
0347
0061
7952
0000
plus
55%
1906
0.35
6831
.315
1934
.168
L
it45
3599
316
1284
2872
225
0195
200
Tar
gets
for
PU
I
Wie
ght/h
eigh
t49
8685
995
1411
9422
7.5
1770
9600
0ci
ty 8
4pl
us 5
5%m
etro
98
GD
P n
atio
nal
3142
5680
000
3142
5680
000
3142
5680
000
Acc
ra86
7459
1344
561
2218
000
unab
le to
find
G
DP
on
Ag
9427
7040
9427
7040
9427
7040
Kum
asi
3762
4958
3186
7000
00es
timat
e fo
r A
ccra
Sci
per
1 m
illio
n na
tiona
l pop
ulat
ion
14.5
0788
018
14.5
0788
018
14.5
0788
018
Tam
ale
1359
5221
0725
.630
0000
figur
e is
incr
ease
dS
ci p
er P
S p
opul
atio
n99
.107
8994
928
.060
6703
454
.665
6925
2T
ema
1315
2820
3868
.425
0000
1984
Gre
ater
Acc
ra
Wei
ghte
d de
gree
BS
c83
.483
.483
.4T
akor
adi}
6148
495
300.
230
0000
data
Wei
ghte
d de
gree
MS
c12
5.1
125.
112
5.1
Sek
ondi
}31
916
4946
9.8
Wei
ghte
d de
gree
PhD
69.5
69.5
69.5
1604
588
2487
111
3768
000
plus
55%
2487
111.
4
Base
d on
LG
P of
9 m
ths.
Sele
cts
area
whe
re c
limax
ve
geta
tion
is f
ores
t, t
hat
has
been
/is
vario
usly
cle
ared
for
ag
ricul
ture
.
Base
d on
LG
P of
8 m
ths.
Se
lect
s th
e ec
olog
ical
tr
ansi
tion
zone
fro
m s
avan
na
to f
ores
t as
the
clim
ax
vege
tatio
n co
ver,
bot
h va
rious
ly c
lear
ed a
nd u
sed
for
agric
ultu
re.
28%
of
land
are
a.23%
of
land
are
a.
Accr
aKu
mas
iTa
mal
eTe
ma
Seko
ndi-
Tako
radi
ww
w.u
n.or
g/D
epts
/uns
d/d
emog
/288
.htm
1970
dat
a
Adul
t lit
erac
y ra
te 1
997
from
UN
DP
1999
.
'Rea
l GD
P pe
r ca
pita
' fr
om U
ND
P 19
99.
Base
d on
per
cent
age
of la
nd a
rea
occu
pyin
g ta
rget
are
a.Po
pula
tion
figur
es f
rom
pro
vinc
ial
1984
dat
a in
crea
sed
by 5
5% t
o re
flect
nat
iona
l pop
ulat
ion
grow
th
1984
-98.
36%
of
tota
l pop
ulat
ion.
Base
d on
per
cent
age
of la
nd a
rea
occu
pyin
g ta
rget
are
a.Po
pula
tion
figur
e fr
om p
rovi
ncia
l 198
4 da
ta
incr
ease
d by
55%
to
refle
ct g
row
th in
nat
iona
l po
pula
tion
1984
-98.
10%
of
tota
l pop
ulat
ion.
36.8
% b
ased
on
natio
nal d
ata.
HD
R
1999
Maj
or t
owns
in t
arge
t ar
ea:
Kum
asi,
Suny
ani,
Obu
sai,
Bakw
ai, H
o, B
erek
um, G
awso
, Ba
kwai
, H
ahoe
, Kp
andu
.
Tow
ns in
tar
get
area
: Sa
laga
, Ki
ntam
po, Ye
ndi,
Bim
bila
, D
unba
i, Ke
te
Krac
hi, Kw
adjo
krom
, Ye
ji, B
ole,
Saw
la.
Accr
a, K
umas
i, Se
kond
i-Ta
kora
di, Ta
mal
e, T
ema.
19
84 c
ensu
s da
ta in
crea
sed
by 5
5% o
r 19
98 e
stim
ates
fr
om F
WKC
enc
yclo
pedi
a.20
% o
f po
pula
tion.
1984
cen
sus
'city
' dat
a sc
aled
up
by 5
5% t
o re
flect
gen
eral
pop
ulat
ion
incr
ease
.
Diff
eren
ce b
etw
een
city
and
m
etro
polit
an p
opul
atio
ns =
pe
ri-ur
ban.
Prim
ary
and
seco
ndar
y pa
ved
road
s.Sc
ale
5 =
den
se, 1=
spar
se.
1993
dat
a -
wei
ght/
age
only
.
1991
dat
a.
Scal
e: %
con
trib
utio
n to
na
tiona
l pro
duct
ion:
5 =
80
-10
04
= 6
0 -8
03
= 4
0 -6
02
= 2
0 -
401
= 0
-20
App-9
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
IND
IAH
P(1
)H
P(2
)H
SS
A (
1)S
A (
2)F
AL
WP
UN
atio
nal
So
urc
eN
atio
nal
dat
a:La
nd a
rea
(km
2)30
8928
2E
SR
I 98
Hum
an p
opul
atio
n: T
otal
9709
3300
0U
N m
id 9
8
Rur
al
70
4897
358
U
rban
2660
3564
2
PS
dat
a:La
nd a
rea
(km
2)30
9929
4837
3910
2726
016
2048
7H
uman
pop
ulat
ion:
Tot
al16
9002
378
2491
6125
032
2700
313
5284
7173
839
0782
38.9
8
Rur
al
12
5061
760
1843
7932
523
8798
232
3910
6908
624
8522
64
Urb
an43
9406
1864
7819
2583
9020
8113
7402
652
1422
5975
Mar
ket i
nfra
stru
ctur
e:R
oad
dens
ity (
km r
oads
per
PS
on
5 pt
sca
le)
55
45
5M
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
0193
60.
0206
70.
0165
50.
0191
3A
sses
smen
t of e
xpor
t pot
entia
l (m
id p
oint
of P
S to
maj
or c
ity [k
m])
200
200
200
200
Land
pro
duct
ivity
pot
entia
l 3
3.5
3
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
1670
1670
1670
1670
1670
1670
UN
DP
1999
L
itera
cy r
ate
% (
1997
, nat
iona
l)53
.553
.553
.553
.553
.553
.5U
ND
P19
99
Har
vard
sca
le d
ata
%
chi
ldre
n w
ith a
ccep
tabl
e w
eigh
t/hei
ght t
o ag
e54
5454
5454
NR
kno
wle
dge
base
NR
kno
wle
dge
base
(D
egre
e le
vel o
f nat
iona
l res
earc
hers
) : %
BS
c
% M
Sc
0.3
%
PhD
Agr
icul
tura
l Res
earc
h: N
o of
sci
entis
ts (
1991
)48
3048
3048
3048
3048
30
Sha
re o
f GD
P to
Ag
R (
1991
)0.
150.
150.
150.
150.
15C
alcu
latio
ns fo
r w
eigh
ts o
n su
mm
ary
page
: GD
P
2.82
234E
+11
4.16
099E
+11
5.38
91E
+11
8.82
548E
+11
6526
0659
097
L
it90
4162
7223
1333
0126
875
1726
4466
746
2827
3237
983
2090
6857
85
Wei
ght/h
eigh
t91
2612
8412
1345
4707
500
1742
5816
902
2853
7473
852
2110
2249
05G
DP
nat
iona
l1.
6214
6E+
121.
6214
6E+
121.
6214
6E+
121.
6214
6E+
121.
6214
6E+
12G
DP
on
Ag
2432
1871
6524
3218
7165
2432
1871
6524
3218
7165
2432
1871
65S
ci p
er 1
mill
ion
natio
nal p
opul
atio
n4.
9745
9659
94.
9745
9659
94.
9745
9659
94.
9745
9659
94.
9745
9659
9S
ci p
er P
S p
opul
atio
n84
0.71
8654
912
39.4
7670
716
05.3
0388
2628
.933
711
194.
3984
747
Wei
ghte
d de
gree
BS
cW
eigh
ted
degr
ee M
Sc
Wei
ghte
d de
gree
PhD
Inte
ract
ion
of r
ainf
all,
soils
, el
evat
ion.
D
ry a
nd m
oist
sem
i arid
: LG
Ps 9
0-15
0 da
ys, 50
0-10
00m
m.
Bas
ed o
n IC
RIS
AT L
GP
NRM
Pro
gram
me
data
.
Indo
-gan
getic
pla
in z
one.
Low
ele
vatio
n Bi
har
& e
aste
rn
UP.
Sugg
este
d ap
proa
ch w
as t
o se
lect
2 'm
ega'
, 2
larg
e, 2
med
ium
and
2
smal
l citi
es. An
alys
is o
f th
e 19
91 c
ensu
s da
ta s
how
s th
at t
here
w
ere
300
citie
s w
ith p
opul
atio
n gr
eate
r th
an 1
00,0
00 a
ccou
ntin
g fo
r 21
7 m
illio
n of
Ind
ia's
peo
ple.
Ci
ties
sele
cted
:Ag
ra, Ba
ngal
ore,
Bom
bay,
Cal
cutt
a, K
hara
gpur
, H
yder
abad
, H
ubli-
Dha
rwad
and
Shi
llong
.
'Rea
l GD
P pe
r ca
pita
' fro
m
UN
DP
1999
.
Adul
t lit
erac
y ra
te 1
997
from
U
ND
P 19
99.
Inte
ract
ion
of r
ainf
all,
soils
, el
evat
ion.
As
for
Sce
nario
1 p
lus:
Dry
sub
hum
id:
LGP
150-
180
days
, 10
00-1
200m
m.
Base
d on
ICR
ISAT
LG
P N
RM
Pro
gram
me
data
.
Base
d on
app
rox.
% o
f st
ate
land
are
a fa
lling
with
in t
he
targ
et a
rea
and
appl
ying
the
sa
me
perc
enta
ges
to t
he
1991
sta
te c
ensu
s da
ta. Th
e to
tal w
as t
han
incr
ease
d by
14
% t
o re
flect
the
diff
eren
ce
betw
een
the
1991
cen
sus
and
the
UN
mid
199
8 es
timat
e.33
% o
f to
tal p
opul
atio
n.
Base
d on
app
roxi
mat
e pe
rcen
tage
of
stat
e la
nd f
allin
g w
ith t
he t
arge
t ar
ea a
nd a
pply
ing
the
sam
e pe
rcen
tage
to
the
1991
sta
te c
ensu
s da
ta.
The
tota
l was
the
n in
crea
sed
to r
efle
ct t
he d
iffer
ence
bet
wee
n th
e 19
91 c
ensu
s da
ta a
nd t
he U
N m
id 1
998
estim
ate.
54
% o
f to
tal
popu
latio
n.
74%
, fr
om n
atio
nal
data
. Se
e no
tes
for
indi
vidu
al s
tate
ru
ral/ur
ban
data
74%
, fr
om n
atio
nal d
ata.
Ref
er t
o no
tes
for
indi
vdua
l st
ate
rura
l/ u
rban
dat
a.
Met
ropl
itan
area
pop
ulat
ion
for
8 se
lect
ed c
ities
.To
tal i
ncre
ased
by
14%
to
refle
ct in
crea
se in
gen
eral
po
pula
tion.
Not
e: u
rban
isat
ion
rate
m
ay b
e hi
gher
tha
n po
pula
tion
grow
th r
ate.
Tota
l for
'city
' pop
ulat
ions
fo
r se
lect
ed c
ities
fro
m
1991
cen
sus
data
in
crea
sed
by 1
4% t
o re
flect
gen
eral
pop
ulat
ion
incr
ease
.
'Per
i-urb
an' p
opul
atio
n.D
iffer
ence
bet
wee
n m
etro
polit
an a
nd c
ity
popu
latio
ns.
Indo
-gan
getic
pla
in z
one.
Low
ele
vatio
n Bi
har
& E
aste
rn U
P,
high
er e
leva
tion
wes
tern
UP,
Har
yana
& P
unja
b.In
tera
ctio
n of
soi
l typ
e an
d ra
infa
ll
Base
d on
75%
of
popu
latio
n of
Bih
ar a
nd 6
0% o
f U
ttar
Pr
ades
h, in
crea
sed
by 1
4% t
o re
flect
pop
ulat
ion
incr
ease
in 1
991
cens
us d
ata.
17
% o
f to
tal p
opul
atio
n.
Base
d on
75%
of
popu
latio
n Bi
har,
80%
of
UP,
90%
of
Har
yana
, 90
% o
f Pu
njab
and
100
% o
f D
elhi
UT.
Incr
ease
d by
14%
to
refle
ct g
ener
al
incr
ease
in p
opul
atio
n.26
% o
f to
tal
popu
latio
n.
74%
rur
al f
rom
nat
iona
l sta
tistic
s. A
rea
incl
udes
citi
es o
f Pa
tna,
Ben
ares
, G
orak
pur,
Luc
know
, Al
laha
bad
and
Kanp
ur.
74%
rur
al f
rom
nat
iona
l sta
tistic
s. A
rea
incl
udes
citi
es o
f Pa
tna,
Ben
ares
, G
orak
pur,
Luc
know
, Al
laha
bad,
Kan
pur,
Agr
a, B
arei
lly, D
elhi
& N
ew D
elhi
.
Citie
s >
500,
000
in t
arge
t ar
ea:
Agra
, Ah
med
abad
, Am
ritsa
r, B
anga
lore
, D
elhi
, G
wal
ior,
Jai
pur,
Ka
npur
, Ko
ta, Lu
ckno
w, Lu
dhia
na, M
adra
s. M
adur
ai, M
ysor
e, S
olap
ur, Ti
ruch
chira
ppal
li,
Vado
dara
.
Wid
er d
efin
ition
tar
get
area
in
clud
es a
dditi
onal
citi
es:
Alla
haba
d, B
arei
lly, Be
nare
s,
Bhop
al, Bo
mba
y, C
hand
igar
gh,
Gor
akhp
ur, H
yder
abad
, M
adra
s, N
agpu
r, P
atna
, Pu
ne,
Sura
t, V
aran
asi.
Citie
s >
500,
000
in t
arge
t ar
ea:
Alla
haba
d,
Bena
res,
G
orak
hpur
, Ka
npur
, Lu
ckno
w, Pa
tna.
Addi
tiona
l citi
es >
500,
000
in
expa
nded
tar
get
area
: Ag
ra,
Amrit
sar,
Bar
eilly
, D
ehli.
Roa
d de
nsity
sca
le:
5=de
nse,
1=
spar
se.
Wei
ght/
age
only
.
App-10
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
No
tes
– In
dia
Sta
teP
op 9
1ru
ral
SA
(1)
SA
(2)
HP
(1)
HP
(2)
Tam
il N
5585
966
%60
%33
515.
490
%50
273.
1C
alcu
tta11
1000
00K
arna
taka
4497
769
%70
%31
483.
975
%33
732.
75K
anpu
r18
7500
0A
nd. P
.66
508
73%
60%
3990
4.8
80%
5320
6.4
Pat
na10
2500
0M
ahar
ash.
7893
761
%50
%39
468.
575
%59
202.
75D
elhi
7200
000
Mad
hya
P.
6618
177
%25
%16
545.
2570
%46
326.
7B
enar
es92
5000
Guj
arat
4131
066
%60
%24
786
70%
2891
7N
Del
hi27
3036
Raj
asth
an44
006
77%
40%
1760
2.4
40%
1760
2.4
Luck
now
1060
000
Utta
r P
. 13
9112
80%
40%
5564
4.8
75%
1043
3460
%83
467.
280
%11
1289
.6Ja
ipur
1025
000
Bih
ar86
374
87%
050
%43
187
75%
6478
0.5
75%
6478
0.5
Ahm
edab
a d24
0000
0H
arya
na16
464
75%
40%
6585
.650
%65
85.6
90%
1481
7.6
Nag
pur
1302
000
Pun
jab
2028
270
%40
%81
12.8
50%
1014
190
%18
253.
8B
omba
y99
5000
0D
elhi
9421
10%
100%
9421
100%
9421
100%
9421
Pun
e17
7500
0C
hand
i gar
gh64
210
%0
100%
642
Hyd
erab
ad27
5000
0V
isha
kha p
a60
3630
2830
70.4
546
3571
.714
8247
.721
8562
.5A
mrit
sar
2948
4414
% in
crea
se32
2700
.313
5284
71.7
1690
02.4
2491
61.3
Man
galo
re30
6078
Ban
galo
re29
5000
0M
adra
s44
7500
091
cen
sus
8463
0374
%
Coc
hin
6828
3698
UN
est
9709
33M
adur
ai96
0000
incr
ease
14
%H
ubli-
Dha
r w64
8298
Ran
dom
sel
ectio
n fo
r P
UH
DR
dat
a 19
9919
91C
ity
Met
ro14
%in
c(C
)14
%in
c(M
)A
reas
qkm
Nat
pop
9662
0000
0A
gra
8917
9094
8063
1016
640.
610
8079
1.82
%ur
ban
27.4
Ban
galo
re26
6008
841
3028
830
3250
0.32
4708
528.
3236
6B
omba
y99
2589
112
5962
4311
3155
15.7
1435
9717
ES
RI 9
889
4608
700
Cal
cutta
4399
819
1102
1918
5015
793.
6612
5649
86.5
852
Kha
ragp
ur17
7989
2648
4220
2907
.46
3019
19.8
8H
yder
abad
2964
638
4344
437
3379
687.
3249
5265
8.18
217
Hub
li-D
har
6482
9875
0000
7390
59.7
285
5000
Shi
llong
1317
1922
3366
1501
59.6
625
4637
.24
Tot
al21
8002
3234
2791
5724
8522
64.5
3907
8239
estim
ate
ww
w.u
n.or
g./D
epts
/uns
d/de
mog
/356
.htm
1991
dat
a
App-11
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
KE
NY
AH
PH
SS
AF
AL
WP
UN
atio
nal
So
urc
eN
ote
sN
atio
nal
dat
a:La
nd a
rea
(km
2)58
0367
ES
RI 9
8N
airo
bi12
8620
0H
uman
pop
ulat
ion:
Tot
al29
0080
00U
n m
id98
Mom
basa
4423
69
Rur
al
20
1895
68R
ural
pop
70%
Bou
rn/B
lenc
h
Urb
an88
1843
2P
op d
en50
per
km2
Bou
rn/B
lenc
h
PS
dat
a:H
DR
dat
a 19
99La
nd a
rea
(sqk
m)
1075
51N
at p
op28
4000
0H
uman
pop
ulat
ion:
Tot
al21
3317
60%
urba
n30
.4
Rur
al
14
9322
32
Urb
an63
9952
8E
SR
I 98
2583
5250
Mar
ket i
nfra
stru
ctur
e:R
oad
dens
ity (
km r
oads
per
PS
on
5 pt
sca
le)
3.5
EIU
198
8 da
taT
arge
t%
New
tgt
Mar
ket d
eman
d as
sess
men
t (to
wns
> 1
00,0
00po
p/ 1
000s
qkm
of P
S)
0.11
157
Cen
tral
3117
14.5
3117
100
3117
Ass
essm
ent o
f exp
ort p
oten
tial (
mid
poi
nt o
f PS
to m
ajor
tow
n [k
m])
100
Nya
nza
3507
16.4
3507
100
3507
Land
pro
duct
ivity
pot
entia
l 4
Wes
tern
2544
11.9
2544
100
2544
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
1190
1190
UN
DP
1999
R V
alle
y49
8223
.230
0060
2989
.2
Lite
racy
rat
e %
(19
97, n
atio
nal)
79.3
79.3
UN
DP
1999
Eas
tern
3769
17.6
2500
7026
38.3
H
arva
rd s
cale
dat
a
% c
hild
ren
with
acc
epta
ble
wei
ght/h
eigh
t to
age
72C
oast
1829
8.5
1000
5510
05.9
5N
R k
now
ledg
e ba
se (
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs)
: % B
Sc
50N
airo
bi13
256.
20
0
% M
Sc
42N
Eas
tern
371
1.7
00
%
PhD
821
444
100
1566
815
801.
45A
gric
ultu
ral R
esea
rch:
No
of s
cien
tists
(19
91)
819
plus
35%
2894
921
179
2133
1.76
S
hare
of G
DP
to A
g R
(19
91)
0.5
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
2.53
85E
+10
L
it16
9160
8568
w
eigh
t/hei
ght
1535
8867
20G
DP
nat
iona
l3.
452E
+10
GD
P o
n A
g17
2597
600
Sci
per
1 m
illio
n na
tiona
l pop
ulat
ion
28.2
3359
07S
ci p
er P
S p
opul
atio
n60
2.27
2181
Wei
ghte
d de
gree
BS
c40
9.5
Wei
ghte
d de
gree
MS
c34
3.98
Wei
ghte
d de
gree
PhD
65.5
2
18%
of
land
are
a.
Inte
ract
ion
of r
ainf
all,
LGP
and
soils
dat
a.Rai
nfal
l 900
mm
+, LG
P 7m
ths+
and
soi
l cla
sses
: Fe
rras
ol, Lu
viso
l, Ca
mbi
sol,
Nito
sol,
Vert
isol
, Ac
risol
, Pl
anos
ol a
nd A
ndos
ol.
'Rea
l GD
P pe
r ca
pita
' fro
m
UN
DP
1999
.
Adul
t lit
erac
y ra
te 1
997
from
U
ND
P 19
99.
Area
of
grea
test
po
pula
tion
dens
ity is
the
ta
rget
are
a. G
uess
timat
e m
ade
as t
o w
hat
prop
rtio
n of
pro
vinc
ial p
opul
atio
ns
to in
clud
e
Area
of
grea
test
pop
ulat
ion
dens
ity
is t
he t
arge
t ar
ea. G
uess
timat
e m
ade
as t
o w
hat
prop
rtio
n of
pr
ovin
cial
pop
ulat
ions
to
incl
ude.
Se
e no
tes.
73%
of
tota
l pop
ulat
ion.
70%
of
popu
latio
n fr
om
natio
nal d
ata.
30%
of
popu
latio
n fr
om
natio
nal d
ata.
Tow
ns in
tar
get
area
: Ki
tale
, El
dore
t, K
isum
u,
Nak
uru,
Nai
robi
, M
omba
sa, Ka
kam
ega,
Bu
tere
, N
yeri,
Thi
ka,
Mer
u, M
acha
kos.
Den
sity
sca
le:
5=de
nse,
1=
spar
se.
1991
dat
a.
App-12
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
NE
PA
LH
PH
SS
AF
AL
WP
UN
atio
nal
So
urc
eN
ote
sN
atio
nal
dat
a:La
nd a
rea
(km
2)14
7293
ES
RI 9
8K
athm
andu
3200
00H
uman
pop
ulat
ion:
Tot
al21
8430
00U
N m
id 9
8
Rur
al
19
4621
13H
DR
dat
a 19
99
Urb
an23
8088
7N
at p
op22
3000
00%
urba
n10
.9P
S d
ata:
Land
are
a (k
m2)
8143
081
430
ES
RI 9
819
9272
80H
uman
pop
ulat
ion:
Tot
al11
9575
8211
9575
82
Rur
al
10
6542
0610
6542
06
Urb
an13
0337
613
0337
6M
arke
t inf
rast
ruct
ure:
Roa
d de
nsity
(km
roa
ds p
er P
S o
n 5
pt s
cale
)1
1M
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
1228
00.
1228
0A
sses
smen
t of e
xpor
t pot
entia
l (m
id p
oint
of P
S to
maj
or c
ity [k
m])
100
100
Land
pro
duct
ivity
pot
entia
l 3.
5
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
1090
1090
1090
UN
DP
1999
L
itera
cy r
ate
% (
1997
, nat
iona
l)38
.138
.138
.1U
ND
P19
99
Har
vard
sca
le d
ata
%
chi
ldre
n w
ith a
ccep
tabl
e w
eigh
t/hei
ght t
o ag
e53
53N
R k
now
ledg
e ba
seN
R k
now
ledg
e ba
se (
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs)
: % B
Sc
17
% M
Sc
%
PhD
Agr
icul
tura
l Res
earc
h: N
o of
sci
entis
ts (
1991
)
Sha
re o
f GD
P to
Ag
R (
1991
)C
alcu
latio
ns fo
r w
eigh
ts o
n su
mm
ary
page
: GD
P13
0337
6438
013
0337
6438
0
Lit
4555
8387
4.2
4555
8387
4.2
W
eigh
t/heo
ght
6337
5184
663
3751
846
GD
P n
atio
nal
2380
8870
000
GD
P o
n A
g0
Sci
per
1 m
illio
n na
tiona
l pop
ulat
ion
Sci
per
PS
pop
ulat
ion
Wei
ghte
d de
gree
BS
cW
eigh
ted
degr
ee M
Sc
Wei
ghte
d de
gree
PhD
Land
in t
he r
ange
300
-250
0m e
leva
tion.
Inc
lude
s ce
ntra
l ban
d of
cou
ntry
and
hi
gher
ele
vatio
n va
lleys
of
Him
alay
a fo
othi
lls.
Take
s in
land
s ch
arac
teris
ed a
s lo
w, m
id a
nd h
igh
hills
and
the
alti
tude
lim
its
of s
tapl
e cr
ops
such
as
rice
and
pota
to.
55%
of
land
are
a.D
isto
rtio
n du
e to
to
pogr
aphy
.
55%
of
land
are
a.D
isto
rtio
n du
e to
to
pogr
aphy
.
Sam
e ar
ea a
s H
S pr
oduc
tion
syst
em.
Fore
st-a
gric
ultu
re in
terf
ace
mor
e lik
ely
in m
id a
nd h
igh
hills
reg
ion.
'Rea
l GD
P pe
r ca
pita
' fro
m U
ND
P 19
99.
Adul
t lit
erac
y ra
te 1
997
from
U
ND
P 19
99.
Calc
ulat
ed f
rom
198
1 po
pula
tion
data
fro
m t
he
adm
inis
trat
ive
regi
ons
mos
t cl
osel
y ap
prox
imat
ing
to
the
targ
et a
rea
and
then
incr
eass
ing
the
tota
l by
45.6
% t
o re
flect
the
incr
ease
in t
he t
otal
pop
ulat
ion
from
the
198
1 da
ta s
et t
o th
e U
n m
id 1
998
estim
ate.
Calc
ulat
ed f
rom
198
1 po
pula
tion
data
fro
m t
he
adm
inis
trat
ive
regi
ons
mos
t cl
osel
y ap
prox
imat
ing
to t
he
targ
et a
rea
and
then
in
crea
ssin
g th
e to
tal b
y 45
.6%
to
refle
ct t
he
incr
ease
in t
he t
otal
po
pula
tion
from
the
198
1 da
ta s
et t
o th
e U
N m
id 1
998
estim
ate.
55%
of
tota
l pop
ulat
ion.
10.9
% o
f po
pula
tion
acco
rdin
g to
Hum
an
Dev
elop
men
t Rep
ort
1999
10.9
% o
f po
pula
tion
acco
rdin
g to
H
uman
D
evel
opm
ent
Rep
ort
1999
Line
ar m
easu
rem
ent
only
.
Line
ar m
easu
rem
ent
only
.
Mai
n to
wns
in t
arge
t ar
ea:
Ilam
, D
hank
uta,
Sin
dhul
i, G
arhi
, Ch
arik
ot, Pa
tan,
Kat
ham
andu
, G
orkh
a, P
okha
ra,
Khor
pa.
Mai
n to
wns
in t
arge
t ar
ea:
Ilam
, D
hank
uta,
Sin
dhul
i, G
arhi
, Ch
arik
ot, Pa
tan,
Ka
tham
andu
, G
orkh
a,
Pokh
ara,
Kho
rpa.
Wei
ght/
age
only
.
1991
dat
a.
App-13
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
TA
NZ
AN
IAH
PH
SS
A (
1)S
A (
2)F
AL
WP
UN
atio
nal
S
ou
rce
No
tes
Nat
ion
al d
ata:
Land
are
a (k
m2)
9449
77E
SR
I 98
Dar
13
0000
0H
uman
pop
ulat
ion:
Tot
al32
1020
00U
N m
id 9
8R
ural
pop
75%
Bou
rn/B
lenc
h
Rur
al
23
8517
86P
op d
en30
per
km2
Bou
rn/B
lenc
h
Urb
an82
5021
4D
FID
def
initi
on o
fS
A z
one
= 4
00-1
20m
mP
S d
ata:
80-9
0% o
f Tan
zB
ourn
/Ble
nch
Land
are
a (k
m2)
2482
8239
2076
Citi
es:
Hum
an p
opul
atio
n: T
otal
8699
757
1695
2769
HD
R d
ata
1999
Dar
1096
R
ural
6524
818
1271
4576
Nat
pop
3140
0000
Mw
naza
252
U
rban
2174
939
4238
192
%ur
ban
25.7
Tab
ora
214
Mar
ket i
nfra
stru
ctur
e:M
beya
194
Roa
d de
nsity
(km
roa
ds p
er s
qkm
of P
S o
n 5
pt s
cale
)3
3E
SR
I 98
2838
6270
Tan
ga17
2M
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
0000
20.
0000
3Z
anzi
bar
133
Ass
essm
ent o
f exp
ort p
oten
tial (
mid
poi
nt o
f PS
to m
ajor
tow
n [k
m])
150
200
Dod
oma
85La
nd p
rodu
ctiv
ity p
oten
tial
23.
5E
urop
a P
rovi
nces
95
Sce
nario
1S
cena
rio 2
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
580
580
580
UN
DP
199
9A
rush
a16
4050
%82
050
%82
092
6.6
L
itera
cy r
ate
% (
1997
, nat
iona
l)71
.671
.671
.6U
ND
P19
99D
ar16
510
100%
1651
1865
.63
H
arva
rd s
cale
dat
a0
%
chi
ldre
n w
ith a
ccep
tabl
e w
eigh
t/hei
ght t
o ag
e80
80D
odom
a15
0210
0%15
0250
%75
184
8.63
NR
kno
wle
dge
base
(D
egre
e le
vel o
f nat
iona
l res
earc
hers
) : %
BS
c44
44Ir
inga
1467
100%
1467
100%
1467
1657
.71
%
MS
c44
4439
Kag
era
1653
010
0%16
5318
67.8
9
% P
hD12
12K
ilim
anja
ro13
4550
%67
2.5
100%
1345
1519
.85
Agr
icul
tura
l Res
earc
h: N
o of
sci
entis
ts (
1991
)54
654
6Li
ndi
785
030
%23
5.5
266.
115
S
hare
of G
DP
to A
g R
(19
91)
Mar
a11
780
100%
1178
1331
.14
Mbe
ya17
9215
%26
8.8
50%
896
1012
.48
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
5045
8590
6098
3260
5730
Mor
ogor
o15
2610
%15
2.6
40%
610.
468
9.75
2
Lit
6229
0260
112
1381
8225
Kig
oma
1043
00
0
Wei
ght/h
eigh
t69
5980
560
1356
2214
80M
twar
a10
790
80%
863.
297
5.41
6G
DP
nat
iona
l1.
8619
E+
101.
8619
E+
10M
wan
za22
8030
%68
415
%34
238
6.46
GD
P o
n A
g0
0P
emba
322
00
0S
ci p
er 1
mill
ion
natio
nal p
opul
atio
n17
.008
2861
17.0
0828
61P
wan
i77
40
40%
309.
634
9.84
8S
ci p
er P
S p
opul
atio
n14
7.96
7956
288.
3375
37R
ukw
a84
35%
42.1
50
0W
eigh
ted
degr
ee B
Sc
240.
2424
0.24
Ruv
uma
951
080
%76
0.8
859.
704
Wei
ghte
d de
gree
MS
c24
0.24
240.
24S
hiny
anga
2152
40%
860.
820
%43
0.4
486.
352
Wei
ghte
d de
gree
PhD
65.5
265
.52
Sin
gida
961
100%
961
70%
672.
776
0.15
1T
abor
a12
5715
%18
8.55
5%62
.85
71.0
205
Tan
ga15
905%
79.5
60%
954
1078
.02
Zan
ziba
r45
70
00
2824
876
98.9
1500
2.45
plus
13%
3192
0.24
8699
.757
1695
2.77
1695
2.77
Base
d on
300
-900
mm
ra
infa
ll pe
r an
num
. 25
-30
% o
f co
untr
y. C
ompa
re
with
300
-600
mm
: 5%
an
d 30
0-12
00m
m:
90%
Base
d on
LG
P 3-
6 m
ths.
Occ
upie
s no
rthe
rn
belt
alon
g Ke
nya
and
Uga
nda
bord
er,
cent
ral z
one
and
sout
hern
are
as b
orer
ing
Moz
ambi
que.
Occ
upie
s 40
-50%
of
coun
try.
Co
mpa
re w
ith 3
-4 a
nd 3
-5 m
ths:
are
as d
o no
t ta
ke in
sou
ther
n ar
eas.
26%
of
tota
l lan
d ar
ea
41%
of
tota
l lan
d ar
ea
'Rea
l GD
P pe
r ca
pita
' fro
m
UN
DP
1999
.
Adul
t lit
erac
y ra
te 1
997
from
UN
DP
1999
.Base
d on
pro
prot
iona
l allo
catio
n of
pro
vinc
ial
popu
latio
n da
ta a
ccor
ding
to
perc
enta
ge o
f th
e pr
ovin
ce t
hat
falls
with
in t
he t
arge
t ar
ea.
27%
of
tota
l pop
ulat
ion.
75%
acc
ordi
ng t
o na
tiona
l dat
a.25
% a
ccor
ding
to
natio
nal d
ata.
Base
d on
pro
port
iona
l allo
catio
n of
pr
ovin
cial
pop
ulat
ion
data
acc
ordi
ng
to t
he p
erce
ntag
e of
the
pro
vinc
e th
at f
alls
with
in t
he t
arge
t ar
ea.
53%
of
tota
l pop
ulat
ion.
75%
acc
ordi
ng t
o na
tiona
l dat
a.
25%
acc
ordi
ng t
o na
tiona
l dat
a.
Tow
ns in
tar
get
area
: D
odom
a, I
ringa
, Ko
ngoa
, Si
ngid
a, S
hiny
anga
, N
zega
.
Tow
ns in
tar
get
area
: D
ar e
sSa
laam
, M
wan
za, Ar
usha
, M
oshi
, D
odom
a, M
orog
oro,
O
rong
a, M
twar
a, L
indi
, M
iland
ani,
Song
ea, To
ndur
u.
Prim
ary
and
seco
ndar
y a
road
s bu
t no
t th
ose
clas
sifie
d as
a t
rack
or
a t
rail.
Scal
e 5=
dens
e, 1
=sp
arse
.
1991
dat
a.
App-14
A
PP
EN
DIX
1T
AR
GE
T C
OU
NT
RY
PS
CH
AR
AC
TE
RIS
TIC
S
UG
AN
DA
HP
HS
SA
FA
LW
PU
Nat
ion
alS
ou
rce
No
tes
Nat
ion
al d
ata:
Land
are
a (k
m2)
2430
50E
SR
I 98
Kam
pala
46
0000
Hum
an p
opul
atio
n: T
otal
2102
9000
UN
mid
98
Rur
al p
op87
%B
ourn
/Ble
nch
R
ural
1825
3172
Pop
den
100 p
er k
m2
Bou
rn/B
lenc
h
Urb
an27
7582
8H
DR
dat
a 19
99P
S d
ata:
Nat
pop
2000
0000
Land
are
a (k
m2)
1391
249
535
%ur
ban
13.2
Hum
an p
opul
atio
n: T
otal
2063
438
1057
8750
R
ural
1795
191
9203
513
ES
RI 9
818
1443
60
Urb
an26
8247
1375
238
Mar
ket i
nfra
stru
ctur
e:E
uros
tat 1
990
data
Roa
d de
nsity
(km
roa
ds p
er P
S o
n 5
pt s
cale
)1
4T
arge
t are
a LW
Tar
get a
rea
HS
Mar
ket d
eman
d as
sess
men
t (to
wns
> 1
00,0
00po
p/ 1
000s
qkm
of P
S)
0.28
752
0.26
244
Dis
tric
tD
istr
ict
Por
tion%
Tar
get
T p
lus2
5%A
sses
smen
t of e
xpor
t pot
entia
l (m
id p
oint
of P
S to
maj
or to
wn
[km
])40
60R
akai
396
Mba
le74
330
222.
927
8.62
5La
nd p
rodu
ctiv
ity p
oten
tial
14
Mas
aka
849
Kap
chor
wa
9030
2733
.75
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
1160
1160
1160
UN
DP
1999
Mpi
gi84
0M
orot
o22
615
33.9
42.3
75
Lite
racy
rat
e %
(19
97, n
atio
nal)
6464
64U
ND
P19
99Lu
wer
o54
5K
otid
o23
515
35.2
544
.062
5
Har
vard
sca
le d
ata
Apa
c 43
2N
ebbi
293
3087
.910
9.87
5
% c
hild
ren
with
acc
epta
ble
wei
ght/h
eigh
t to
age
6868
0N
R k
now
ledg
e ba
se (
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs)
: % B
Sc
2020
Lira
498
Bun
drib
ugy
161
4064
.480
.5
% M
Sc
4646
13S
orot
i61
2K
ases
e42
510
42.5
53.1
25
% P
hD34
34K
umi
306
Ruk
ungi
ri37
330
111.
913
9.87
5A
gric
ultu
ral R
esea
rch:
No
of s
cien
tists
(19
91)
Tor
oro
965
Kab
ale
536
100
536
670
S
hare
of G
DP
to A
g R
(19
91)
Igan
ga87
8B
ushe
nyi
678
5033
942
3.75
Kam
uli
449
Mba
rara
1000
1515
018
7.5
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
2393
587.
512
2713
50Ji
nja
271
1650
.75
L
it13
2060
6770
40M
ukon
o77
1H
Spl
us25
%20
63.4
375
2063
.437
5
Wei
ght/h
eigh
t14
0313
.75
7193
55K
ampa
la65
1G
DP
nat
iona
l24
3936
4000
024
3936
4000
0T
otal
LW
8463
GD
P o
n A
g0
0T
otal
Ug
1687
2S
ci p
er 1
mill
ion
natio
nal p
opul
atio
npl
us 2
5%21
090
Sci
per
PS
pop
ulat
ion
LWpl
us25
%10
578.
75W
eigh
ted
degr
ee B
Sc
Wei
ghte
d de
gree
MS
cW
eigh
ted
degr
ee P
hD
Land
of
1500
-200
0m e
leva
tion.
Sc
atte
red
zone
aro
und
bord
ers
of
coun
try.
LG
Ps v
ario
us b
ut g
ener
ally
9-
10 m
ths.
Rai
nfal
l mai
nly
in 9
00-1
500
rang
e.
Base
d on
50k
m d
ista
nce
from
Lak
e Ky
ogya
an
d its
dra
inag
e lin
e to
Lak
e Vi
ctor
ia. LG
P in
thi
s zo
ne 9
-10
mth
s ex
cept
eas
tern
and
so
uthe
rn e
dges
. Rai
nfal
l 120
0mm
+ o
n m
ain
area
and
900
-120
0mm
in e
aste
rn
part
.
6% o
f la
nd a
rea.
20%
of
land
are
a.
'Rea
l GD
P pe
r ca
pita
' fr
om U
ND
P 19
99.
Adul
t lit
erac
y ra
te
1997
fro
m U
ND
P 19
99.
Calc
ulat
ed u
sing
gu
esst
imat
e pr
opor
tion
of la
nd a
rea
falli
ng
with
in t
arge
t ar
ea a
nd
appl
ying
sam
e pr
oprt
ion
to d
istr
ict
popu
latio
n da
ta. To
tal w
as
incr
ease
d by
25%
to
refle
ct d
iffer
ence
in
1990
Eur
osta
t da
ta a
nd
UN
mid
199
8 es
timat
e fo
r U
gand
a.10
% o
f to
tal
popu
latio
n.
87%
of
tota
l usi
ng
natio
nal d
ata.
13%
of
tota
l usi
ng
natio
nal d
ata.
13%
of
tota
l usi
ng
natio
nal d
ata.
87%
of
tota
l usi
ng n
atio
nal
data
. Ta
rget
are
a in
clud
es
Kam
pala
. En
tebb
e an
d Ji
nja
so m
ay n
eed
revi
sion
.
Targ
et a
rea
appr
oxim
ated
to
adm
inis
trat
ive
dist
ricts
for
whi
ch
Euro
stat
giv
e 19
90 p
opul
atio
n da
ta. To
tal i
ncre
ased
by
25%
to
refe
lect
diff
eren
ce b
etw
een
1989
an
d 19
98 U
N d
ata.
50%
of
tota
l pop
ulat
ion.
Mai
n to
wns
in t
arge
t ar
ea:
Kaba
le, Ka
sese
, N
ebbi
, M
orot
o.
Mai
n to
wns
in t
arge
t ar
ea:
Mas
aka,
Ent
ebbe
, Ka
mpa
la,
Bom
bo, Ji
nja,
Iga
nga,
To
roro
, M
bale
, So
roti,
Lira
, Bu
sem
batia
, M
bula
mut
i, N
amas
agal
i.
Roa
d de
nsity
sca
le:
5=de
nse,
1=
spar
se.
1998
dat
a.
App-15
AP
PE
ND
IX 1
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
ZIM
BA
BW
EH
PH
SS
AF
AL
WP
UN
atio
nal
So
urc
eN
ote
sN
atio
nal
dat
a:ce
nsus
Land
are
a (k
m2)
3908
03E
SR
I 98
Har
are
8900
0011
8910
3H
uman
pop
ulat
ion:
Tot
al12
6850
00U
N m
id 9
8B
ulaw
ayo
4138
1462
1742
R
ural
Chi
ungw
iza
2479
12
Urb
anH
DR
dat
a 19
99N
at p
op11
2000
00P
S d
ata:
%ur
ban
33.2
Land
are
a (k
m2)
2297
90H
uman
pop
ulat
ion:
Tot
al57
4475
0E
SR
I 98
1110
6690
R
ural
3848
983
U
rban
1895
768
Cov
ered
popd
enM
arke
t inf
rast
ruct
ure:
Mat
..lan
dN10
0%11
to20
Roa
d de
nsity
(km
roa
ds p
er P
S o
n 5
pt s
cale
)2.
5M
at..l
andS
100%
11to
20M
arke
t dem
and
asse
ssm
ent (
tow
ns>
100
,000
pop/
100
0sqk
m o
f PS
)0.
0652
8M
ash.
.land
W10
%20
to29
Ass
essm
ent o
f exp
ort p
oten
tial (
mid
poi
nt o
f PS
to m
ajor
tow
n [k
m])
200
Mas
h..la
ndC
5%29
to33
Land
pro
duct
ivity
pot
entia
l 2
Mid
land
s60
%20
to29
Pov
erty
sta
tus:
Ave
rage
GD
P (
US
D p
er a
nnum
per
cap
ita,1
997)
2350
2350
UN
DP
1999
Mas
ving
o80
%33
to45
L
itera
cy r
ate
% (
1997
, nat
iona
l)90
.990
.9U
ND
P19
99M
anic
alan
d10
%70
to86
H
arva
rd s
cale
dat
a
% c
hild
ren
with
acc
epta
ble
wei
ght/h
eigh
t to
age
97N
R k
now
ledg
e ba
se (
Deg
ree
leve
l of n
atio
nal r
esea
rche
rs)
: % B
Sc
60
% M
Sc
3023
%
PhD
10A
gric
ultu
ral R
esea
rch:
No
of s
cien
tists
(19
91)
291
S
hare
of G
DP
to A
g R
(19
91)
0.4
Cal
cula
tions
for
wei
ghts
on
sum
mar
y pa
ge: G
DP
1350
0162
500
L
it52
2197
775
W
eigh
t/hei
ght
5572
4075
0G
DP
nat
iona
l29
8097
5000
0G
DP
on
Ag
1192
3900
0S
ci p
er 1
mill
ion
natio
nal p
opul
atio
n22
.940
4808
8S
ci p
er P
S p
opul
atio
n13
1.78
7327
6W
eigh
ted
degr
ee B
Sc
174.
6W
eigh
ted
degr
ee M
Sc
87.3
Wei
ghte
d de
gree
PhD
29.1
Base
d on
3-5
mon
th L
GP.
Usi
ng t
he r
ainf
all d
ata
the
DFI
D d
efin
ition
of
SA a
s 40
0-12
00m
m
occu
pies
the
who
le c
ount
ry. Si
mila
rly, ta
king
a n
arro
wer
def
initi
on (
300-
600m
m)
faile
d to
incl
ude
the
arid
wes
tern
zon
e ar
ound
Bul
away
o/Vi
ctor
ia f
alls
. W
iden
ing
the
rang
e to
300
-900
mm
cov
ered
th
e en
tire
coun
try
exce
pt t
he e
aste
rn h
ighl
ands
, w
hich
als
o eq
uate
s to
the
3-6
mth
LG
P.Ta
rget
zon
e ro
ughl
y ha
lf co
untr
y: S
& W
and
sho
res
of L
Kar
iba.
59%
of
land
are
a.
'Rea
l GD
P pe
r ca
pita
' fr
om U
ND
P 19
99.
Adul
t lit
erac
y ra
te 1
997
from
U
ND
P 19
99.
Base
d on
25
pers
ons
per
sq
km f
or t
arge
t ar
ea.
45%
of
tota
l pop
ulat
ion.
33%
of
popu
latio
n ac
cord
ing
to n
atio
nal
data
.
Mai
n to
wns
in t
arge
t ar
ea:
Hw
ange
, Bu
law
ayo,
Gw
eru,
Kw
ekw
e, Z
vish
avan
e, M
asvi
ngo,
Vi
ctor
ia F
alls
,Lu
pane
, Ea
stno
r,
Beitb
ridge
.
Roa
d de
nsity
sca
le:
5=de
nse,
1=
spar
se.
1991
dat
a.
App-16
AP
PE
ND
IX 1
Ban
glad
esh
Sup
plem
ent
TA
RG
ET
CO
UN
TR
Y P
S C
HA
RA
CT
ER
IST
ICS
Dis
trib
uti
on
of
Po
pu
lati
on
by
Zila
, Ru
ral &
Urb
an R
esid
ence
s 19
98 (
hu
man
po
pu
lati
on
in '0
00')
Sou
rce:
Ban
glad
esh
Bur
eau
of S
tatis
tics
Nat
iona
l Dat
a B
ank
http
://w
ww
.ban
gla.
net/n
db/d
ata-
shee
t/DE
MO
_DA
TA
.htm
Zil
aR
ura
lU
rban
To
tal
Zil
aR
ura
lU
rban
To
tal
Che
ckC
heck
Ban
gla
des
h96
354
2621
512
2569
1225
69
BA
RIS
AL
DIV
7265
1178
8443
8443
SY
LH
ET
DIV
6900
919
7819
7819
1B
argu
na79
090
880
35H
abig
anj
1592
167
1759
2B
aris
al20
8441
124
9536
Mau
lvi.B
azar
1429
152
1581
3B
hola
1455
238
1693
37S
unam
ganj
1803
175
1978
4Jh
alak
hati
646
109
755
38S
ylhe
t20
7642
525
015
Pat
uakh
ali
1258
170
1428
6P
irojp
ur10
3216
011
92K
HU
LN
A D
IV11
562
2959
1452
114
521
39B
ager
hat
1391
240
1631
CT
G.
DIV
.18
629
5265
2389
423
894
40C
huad
anga
670
251
921
7B
anda
rban
191
8027
141
Jess
ore
2057
360
2417
8B
.Bar
ia21
4934
224
9142
Jhen
aida
h13
3422
615
609
Cha
ndpu
r21
9715
823
5543
Khu
lna
1095
1264
2359
590
10C
hitta
gong
3229
2964
6193
44K
usht
ia15
0121
517
1611
Com
illa41
8350
846
9145
Mag
ura
753
7582
812
Cox
’s B
azar
1414
253
1667
46M
eher
pur
502
6256
413
Fen
i11
4313
512
7847
Nar
ail
630
8671
614
Kha
grac
hhar
i27
412
640
048
Sat
khira
1629
180
1809
1809
15La
ksm
ipur
1277
240
1517
16N
oakh
ali
2272
302
2574
17R
anga
mat
i30
015
745
7R
AJS
HA
HI D
IV25
677
4448
3012
530
125
49B
ogra
2709
388
3097
3097
50D
inaj
pur
2246
369
2615
2615
DH
AK
A D
IV26
321
1144
637
767
3776
751
Gai
band
ha20
6219
622
5874
518
Dha
ka70
167
3374
3452
Joyp
urha
t78
010
488
419
Far
idpu
r15
0619
817
0453
Kur
igra
m15
7426
618
4020
Gaz
ipur
1135
739
1874
54La
lmon
irhat
913
129
1042
1042
21G
opal
ganj
1088
102
1190
55N
aoga
on22
4923
724
8624
8622
Jam
alpu
r18
6827
321
4156
Nat
ore
1325
197
1522
1522
23K
isho
rega
nj22
5335
426
0757
Naw
abga
nj11
1224
513
5713
5724
Mad
arip
ur10
9211
412
0658
Nilp
ham
ari
1341
203
1544
1544
25M
anik
ganj
1192
124
1316
59P
abna
1825
371
2196
2196
26M
unsh
igan
j11
8914
213
3160
Pan
chag
arh
703
7677
977
927
Mym
ensi
ngh
3958
534
4492
61R
ajsh
ahi
1476
765
2241
28N
aray
anga
nj95
891
118
6962
Ran
gpur
2051
447
2498
29N
arsi
ngdi
1560
320
1880
63S
irajg
anj
2276
331
2607
30N
etro
kona
1789
182
1971
64T
haku
rgao
n10
3512
411
5931
Raj
bari
842
112
954
32S
haria
tpur
977
9510
7235
4A
ppro
xim
ate
popu
latio
n in
coa
stal
are
a18
447
33S
herp
ur11
5914
213
01A
ppro
x pr
opor
tion
of p
opln
in c
oast
al a
rea
1689
34T
anga
il30
5437
134
25A
ppro
x to
tal p
opul
atio
n in
coa
stal
are
a 20
136
App-17
AP
PE
ND
IX 1
PR
OD
UC
TIO
N S
YS
TE
MS
CH
AR
AC
TE
RIS
AT
ION
MA
ST
ER
SU
MM
AR
Y S
HE
ET
1997
('0
00)
%S
A(1
)%
SA
(2)
%H
P(1
)%
HP
(2)
Ric
eM
aize
Whe
atT
otP
ulse
sB
anan
aS
ugar
cane
Cof
fee
Tea
P
otat
oM
ilkIN
DIA
7949
594
4162
476
2392
710
171
2826
8520
878
019
239
6373
7A
ndrh
a P
r60
8091
9578
55
640
920
1521
61
542
21A
run
Pr
140
489
509
111
4022
Ass
am33
9013
9521
256
514
9042
550
569
8B
ihar
5075
7569
1112
4841
8162
411
556
4415
7232
50G
oa12
875
955
36G
ujar
at60
7082
737
411
2486
312
4410
511
461
4459
Har
yana
4050
9018
6044
7350
547
8090
141
4062
Him
Pr
111
661
544
3367
112
166
3J&
K50
946
834
937
37
364
1K
arna
taka
7075
3019
1201
150
742
606
2491
814
55
251
3003
Ker
ala
932
2714
597
464
4662
2118
Mad
Pr
2570
5705
1151
6468
4122
458
2023
524
5048
Mah
aras
h50
7525
6333
889
824
4922
1746
656
7648
12M
anip
ur33
87
4141
1764
Meg
hala
ya11
921
62
612
122
54M
izor
am10
215
1211
91
9N
agal
and
185
312
167
120
2043
Oris
sa62
2620
05
1210
346
1574
9058
4P
unja
b40
5090
6768
307
1272
422
0886
2087
462
15R
ajas
tan
4040
118
808
5493
1519
1385
1951
03S
ikki
m22
5515
474
124
32T
amil
N60
9075
6387
360
2907
3457
616
114
127
3695
Trip
ura
466
25
533
757
7738
Utta
r P
r40
7560
8010
408
1470
2220
322
8038
1198
3079
1011
321
Wbe
ngal
1188
710
785
011
0113
1216
562
5832
50D
elhi
10
010
010
03
225
7C
hand
igar
gh10
01
39
Pri
mar
y p
rod
uct
ion
by
Sta
te b
y P
S:
SA
1R
ice
Mai
zeW
heat
Tot
Pul
ses
Ban
ana
Sug
arca
neC
offe
eT
ea
Pot
ato
Milk
And
rha
Pr
6.94
4.99
0.00
1.60
5.43
3.23
0.29
0.00
0.02
3.97
Guj
arat
0.62
2.38
1.08
2.16
7.34
2.23
0.00
0.00
1.44
4.20
Har
yana
0.94
0.19
4.71
0.91
0.00
1.14
0.00
0.00
0.29
2.55
Kar
nata
ka2.
668.
900.
172.
174.
176.
1748
.80
0.45
0.91
3.30
Mad
Pr
1.79
3.05
2.59
4.31
1.13
0.18
0.00
0.00
0.68
1.98
Mah
aras
h1.
611.
790.
725.
1210
.90
8.25
0.00
0.00
0.20
3.77
Pun
jab
3.41
1.30
8.15
3.69
0.00
1.22
0.00
0.00
1.82
3.90
Raj
asta
n0.
063.
423.
522.
540.
000.
200.
000.
000.
043.
20T
amil
N5.
710.
550.
000.
9017
.15
7.34
4.62
8.77
0.40
3.48
Utta
r P
r5.
246.
2314
.22
3.81
0.15
16.9
60.
000.
0016
.45
7.10
Del
hi
0.00
0.00
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.40
Tot
al28
.98
32.8
035
.14
27.2
346
.26
46.9
253
.70
9.22
22.2
437
.86
App-18
A
PP
EN
DIX
1
Indi
a S
uppl
emen
tT
AR
GE
T C
OU
NT
RY
PS
CH
AR
AC
TE
RIS
TIC
S
Pri
mar
y p
rod
uct
ion
by
Sta
te b
y P
S:
SA
2R
ice
Mai
zeW
heat
Tot
Pul
ses
Ban
ana
Sug
arca
neC
offe
eT
ea
Pot
ato
Milk
And
rha
Pr
9.25
6.65
0.01
2.14
7.24
4.31
0.38
0.00
0.02
5.30
Bih
ar4.
356.
613.
351.
300.
571.
000.
000.
004.
092.
55G
ujar
at0.
732.
771.
262.
528.
562.
600.
000.
001.
684.
90H
arya
na1.
170.
235.
881.
140.
001.
430.
000.
000.
373.
19K
arna
taka
2.85
9.54
0.18
2.33
4.47
6.61
52.2
80.
480.
983.
53M
ad P
r5.
028.
537.
2512
.06
3.15
0.50
0.00
0.00
1.91
5.54
Mah
aras
h2.
422.
691.
087.
6816
.35
12.3
80.
000.
000.
305.
66P
unja
b4.
261.
6310
.18
4.61
0.00
1.52
0.00
0.00
2.27
4.88
Raj
asta
n0.
063.
423.
522.
540.
000.
200.
000.
000.
043.
20T
amil
N8.
560.
830.
001.
3525
.72
11.0
16.
9213
.15
0.59
5.22
Utta
r P
r9.
8211
.68
26.6
57.
150.
2831
.79
0.00
0.00
30.8
413
.32
Del
hi
0.00
0.00
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.40
Tot
al48
.49
54.5
859
.35
44.8
466
.34
73.3
559
.59
13.6
343
.07
57.6
9
HP
1R
ice
Mai
zeW
heat
Tot
Pul
ses
Ban
ana
Sug
arca
neC
offe
eT
ea
Pot
ato
Milk
Bih
ar6.
529.
915.
021.
960.
851.
500.
000.
006.
133.
82U
ttar
Pr
7.86
9.34
21.3
25.
720.
2225
.43
0.00
0.00
24.6
710
.66
Tot
al14
.38
19.2
626
.34
7.67
1.07
26.9
30.
000.
0030
.80
14.4
8
HP
2R
ice
Mai
zeW
heat
Tot
Pul
ses
Ban
ana
Sug
arca
neC
offe
eT
ea
Pot
ato
Milk
Bih
ar6.
529.
915.
021.
960.
851.
500.
000.
006.
133.
82H
arya
na2.
110.
4210
.59
2.06
0.00
2.58
0.00
0.00
0.66
5.74
Pun
jab
7.66
2.93
18.3
38.
310.
002.
740.
000.
004.
098.
78U
ttar
Pr
10.4
712
.46
28.4
37.
620.
3033
.91
0.00
0.00
32.8
914
.21
Del
hi
0.00
0.00
0.00
0.01
0.00
0.00
0.00
0.00
0.00
0.40
Tot
al26
.77
25.7
262
.37
19.9
51.
1540
.73
0.00
0.00
43.7
732
.95
SU
MM
AR
YR
ice
Mai
zeW
heat
Tot
Pul
ses
Ban
ana
Sug
arca
neC
offe
eT
ea
Pot
ato
Milk
SA
130
3235
2746
4754
922
38S
A 2
4855
5945
6673
6014
4358
HP
114
1926
81
270
031
14H
P 2
2726
6220
141
00
4433
App-19
AP
PE
ND
IX 1
PR
OD
UC
TIO
N S
YS
TE
MS
CH
AR
AC
TE
RIS
AT
ION
MA
ST
ER
SU
MM
AR
Y S
HE
ET
Ro
ug
h c
orr
esp
on
den
ce o
f N
epal
tar
get
are
a p
op
ula
tio
n t
o s
om
e o
f th
e 75
ad
min
istr
ativ
e d
istr
icts
- 1
981
dat
aE
AS
TE
RN
CE
NT
RA
LW
ES
TE
RN
MID
WE
ST
ER
NF
AR
WE
ST
ER
NIla
m17
8356
Sin
dhul
i18
3705
Arg
hkha
ch15
7304
Dan
g D
eokh
uri
2663
93D
adel
dhur
a86
8853
Dha
nkut
a12
9781
Ram
echh
ap16
1445
Gul
umi
2381
13P
yuth
ang
1576
69D
oti
1531
35T
erha
thum
9254
2D
olak
hla
1505
76P
alap
a21
4442
Rol
pa16
8116
Bai
tadi
1791
36B
hojp
ur19
2689
Mak
awan
pur
2434
11B
aglu
ng21
5228
Jaja
rkot
9931
2A
chha
m18
5212
Uda
yapu
r15
9805
Kat
hman
du42
2237
Kas
ki22
1272
Sal
yan
1520
63B
ajur
a74
649
Kho
tang
2155
71D
hadi
ng24
3401
Tan
ahu
2234
38S
urkh
et16
6196
Okh
aldh
unga
1376
40K
havr
epal
anch
ok30
7150
Sya
ngja
2718
24D
aile
kh16
6527
Par
sa28
4338
Gor
kha
2312
92La
lipur
1843
41La
mju
ng15
2720
Bha
ktap
ur15
9767
Nuw
akot
2029
76
TO
TA
LS11
0638
425
4334
719
2563
311
7627
614
6098
582
1262
5
1981
Tot
al p
opul
atio
n fo
r N
epal
1500
0000
Reg
iona
l tot
al in
crea
sed
by 4
5.6%
1195
7582
1998
UN
est
imat
e fo
r N
epal
2184
3000
(Inc
reas
ed b
y 45
.6%
)
Agr
icul
ture
1989
/90
Ric
e M
tW
heat
Mt
Mai
ze M
tM
illet
Mt
Pot
ato
Mt
Sug
arca
ne M
tT
otal
3389
670
8549
6012
0099
022
4780
6718
1098
8300
EA
ST
ER
NIla
m23
260
5540
2310
035
6024
500
320
Dha
nkut
a17
810
3890
2970
079
1099
1084
0T
erha
thum
1825
015
2017
050
3170
1155
032
0B
hojp
ur28
470
2250
2772
053
1013
200
320
Uda
yapu
r25
850
5200
1590
011
6054
4012
50K
hota
ng23
580
1087
020
180
6830
1269
033
0O
khal
dhun
ga96
2017
6013
430
2930
1311
048
0C
EN
TR
AL
Sin
dhul
i25
750
6390
2314
027
5010
410
2000
Ram
echh
ap72
9042
9024
150
3000
1242
012
00D
olak
hla
5060
4410
7010
2000
1560
012
0M
akaw
anpu
r32
170
1037
033
990
5500
1800
0K
athm
andu
4424
013
120
1107
014
7011
420
Dha
ding
2980
072
0024
930
4800
1078
017
600
Agr
icul
ture
con
td19
89/9
0R
ice
Mt
Whe
at M
tM
aize
Mt
Mill
et M
tP
otat
o M
tS
ugar
cane
Mt
App-20
A
PP
EN
DIX
1
Nep
al S
uppl
emen
tT
AR
GE
T C
OU
NT
RY
PS
CH
AR
AC
TE
RIS
TIC
S
CE
NT
RA
L co
ntd
Kha
vrep
alan
chok
3362
019
000
4347
016
8030
000
3800
Par
sa13
2870
2788
010
280
300
7440
5250
0La
lipur
1856
084
1010
710
1860
4320
Bha
ktap
ur25
440
7760
4710
8090
00N
uwak
ot38
230
8800
2967
037
5011
200
4200
WE
ST
ER
NA
rghk
hach
8680
5300
2167
020
3018
90G
ulum
i19
730
4730
3259
047
8033
6070
0P
alap
a20
950
7350
2596
054
8046
4098
0B
aglu
ng11
920
7320
2007
049
4052
00K
aski
4110
094
1022
400
1143
051
0070
0T
anah
u30
840
5330
3621
093
5032
0034
0S
yang
ja35
050
1165
049
300
2643
049
5031
50G
orkh
a31
980
5540
2815
011
040
1295
085
0La
mju
ng23
650
5680
2522
010
800
7820
720
MID
WE
ST
ER
ND
ang
Deo
khur
i91
840
2921
037
650
490
7600
Pyu
than
g11
700
9770
1565
026
9033
60R
olpa
8710
7720
1616
011
2075
00Ja
jark
ot58
4054
0012
880
2350
3000
Sal
yan
1102
015
100
3200
041
1045
00S
urkh
et17
260
2243
023
280
1910
4490
600
Dai
lekh
9000
6250
1431
030
5030
5030
0F
AR
WE
ST
ER
ND
adel
dhur
a12
070
9240
4970
3780
5180
750
Dot
i11
500
1132
020
550
1910
3570
150
Bai
tadi
7650
6530
8450
1360
5180
300
Ach
ham
6960
5940
7510
1980
4620
150
Baj
ura
5060
4140
1420
2190
3660
Tot
al, s
elec
ted
dist
ricts
9623
8034
4020
8266
1017
1280
3358
1094
970
%N
epal
28.3
940
.24
68.8
376
.20
49.9
99.
61
App-21
AP
PE
ND
IX 2
- S
IMP
LE S
CO
RIN
G O
F P
RO
DU
CTI
ON
SY
STE
M B
Y E
AC
H C
HA
RA
CTE
RIS
ATI
ON
CR
ITE
RIO
N
PO
PU
LAT
ION
DO
UB
LE C
OU
NT
ED
FO
R B
AN
GLA
DE
SH
(HP
AN
D L
W) A
ND
NE
PA
L (H
S A
ND
FA
)
HP
(1)
HS
SA
(1)
FA
(2)
LW
(1)
PU
521,
307
278,
927
1,50
5,33
237
4,47
215
3,36
20
53
64
21
201,
480,
731
14,9
13,8
9624
9,17
2,03
212
,590
,380
70,6
90,2
5142
,846
,239
52
61
43
4.17
1.67
3.17
1.67
4.00
5.00
25
45
31
0.10
0.15
0.03
0.11
0.21
1.00
53
64
21
133.
3396
.67
183.
3318
3.33
80.0
00.
004
35
52
14.
002.
172.
001.
834.
500.
002
34
51
61,
452
1,55
61,
653
2,30
11,
050
1,66
75
43
16
251
.31
49.9
654
.60
49.7
538
.90
54.6
33
42
56
156
.30
63.4
255
.40
55.7
857
.00
53.3
83
15
42
60.
1539
0.00
000.
1545
0.09
610.
0000
0.15
294
3.5
36
3.5
52,
491
01,
885
770
249
33.
54
63.
55
100
64
06
33.
55
63.
55
6b 6c5a 5b 5c 6a3a 3b 4a 4b
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
Mar
ket D
eman
d A
sses
smen
t
Ass
essm
ent o
f Exp
ort P
oten
tial
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Pop
ulat
ion
Land
are
a (k
m2 )
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 1
Ch
arac
teri
sati
on
Cri
teri
aR
ef
1 2
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
Market Feasibility Potential
Poverty status (National data)
NR Knowledge Base (National
data)
Land
Pro
duct
ivity
Pot
entia
l
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Roa
d D
ensi
ty
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
m
anua
lly to
acco
mm
odat
e th
e av
erag
ed
valu
es.
PU h
as m
arke
ts b
ut is
res
tric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pro
duct
ivity
po
tent
ial).
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-U
rban
whe
re to
tal p
opul
atio
n w
as
used
.
KE
Y: 6
= G
RE
AT
ES
T N
EE
D, 1
= L
EA
ST
NE
ED
SH
AD
ED
CE
LLS
= A
VE
RA
GE
IN L
IEU
OF
SU
ITA
BLE
DA
TA
App-22
AP
PE
ND
IX 2
- S
IMP
LE S
CO
RIN
G O
F P
RO
DU
CTI
ON
SY
STE
M B
Y E
AC
H C
HA
RA
CTE
RIS
ATI
ON
CR
ITE
RIO
N
PO
PU
LAT
ION
DO
UB
LE C
OU
NT
ED
FO
R B
AN
GLA
DE
SH
(HP
AN
D L
W) A
ND
NE
PA
L (H
S A
ND
FA
)
HP
(2)
HS
SA
(2)
FA
(1)
LW
(2)
PU
695,
117
278,
927
2,24
2,35
338
6,48
018
7,48
30
53
64
21
260,
798,
296
14,9
13,8
9640
7,63
2,64
515
,685
,378
79,7
70,3
0842
,846
,239
51
62
43
4.17
1.67
3.50
2.33
4.33
5.00
36
45
21
0.10
0.15
0.03
0.10
0.11
1.00
52
64
31
133.
3396
.67
200.
0016
6.67
83.3
30.
004
36
52
14.
172.
172.
831.
835.
000.
002
43
51
61,
502
1,55
61,
644
2,15
71,
160
1,66
75
43
16
251
.82
49.9
654
.45
54.3
440
.19
54.6
34
52
36
155
.77
63.4
255
.46
60.2
758
.01
53.3
84
15
23
60.
1539
0.00
000.
1545
0.09
610.
0000
0.15
294
3.5
36
3.5
52,
889
03,
049
148
024
93
3.5
46
3.5
59
06
70
63
3.5
46
3.5
4
6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
5a 5b 5c 6a3a 3b 4a 4b
Pop
ulat
ion
Land
are
a (k
m2 )
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s, V
ersi
on
2R
ef
1 2
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
man
ually
to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
PU h
as m
arke
ts b
ut is
re
stric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
prod
uctiv
ity p
oten
tial).
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-U
rban
whe
re to
tal p
opul
atio
n w
a sus
ed
KE
Y: 6
= G
RE
AT
ES
T N
EE
D, 1
= L
EA
ST
NE
ED
SH
AD
ED
CE
LLS
= A
VE
RA
GE
IN L
IEU
OF
SU
ITA
BLE
DA
TA
App-23
A
PP
EN
DIX
2 -
SIM
PLE
SC
OR
ING
OF
PR
OD
UC
TIO
N S
YS
TEM
BY
EA
CH
CH
AR
AC
TER
ISA
TIO
N C
RIT
ER
ION
P
OP
ULA
TIO
N D
OU
BLE
CO
UN
TE
D F
OR
BA
NG
LAD
ES
H (H
P A
ND
LW
) AN
D N
EP
AL
(HS
AN
D F
A)
HP
(1)
HS
SA
(2)
FA
(1)
LW
(3)
PU
695,
117
278,
927
2,24
2,35
338
6,48
012
4,14
90
53
64
21
201,
480,
731
14,9
13,8
9640
7,63
2,64
515
,685
,378
77,4
63,6
0842
,846
,239
51
62
43
4.17
1.67
3.50
2.33
4.00
5.00
26
45
31
0.10
0.15
0.03
0.10
0.14
1.00
52
64
31
133.
3396
.67
200.
0016
6.67
100.
000.
004
26
53
14.
172.
172.
831.
835.
000.
002
43
51
61,
502
1,55
61,
644
2,15
71,
050
1,66
75
43
16
251
.82
49.9
654
.45
54.3
438
.90
54.6
34
52
36
155
.77
63.4
255
.46
60.2
757
.00
53.3
84
15
23
60.
1539
0.00
000.
1545
0.09
610.
0000
0.15
294
3.5
36
3.5
52,
889
03,
049
148
024
93
3.5
46
3.5
59
06
70
63
3.5
46
3.5
4
6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
5a 5b 5c 6a3a 3b 4a 4b
Pop
ulat
ion
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s, V
ersi
on
3
Land
are
a (k
m2 )
Re
f
1 2
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
PU h
as m
arke
ts b
ut is
res
tric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pro
duct
ivity
po
tent
ial).
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
m
anua
lly to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-U
rban
whe
re to
tal p
opul
atio
n w
as
used
.
KE
Y: 6
= G
RE
AT
ES
T N
EE
D, 1
= L
EA
ST
NE
ED
SH
AD
ED
CE
LLS
= A
VE
RA
GE
IN L
IEU
OF
SU
ITA
BLE
DA
TA
App-24
A
PP
EN
DIX
2 -
SIM
PLE
RA
NK
SC
OR
ING
RA
NK
SC
OR
ES
AN
D D
ER
IVE
D W
EIG
HT
ED
SC
OR
ES
BY
PR
OD
UC
TIO
N S
YS
TE
M A
ND
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
ra
nk
sco
re,
me
an
ra
nk
sco
re a
nd
we
igh
ted
me
an
ra
nk
sco
re (
usi
ng
Sce
na
rio
1 w
eig
hts
*)
for
ea
ch c
ha
ract
eri
satio
n c
rite
rio
n
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )5
.05
.00
.53
.03
.00
.36
.06
.00
.64
.04
.00
.42
.02
.00
.21
.01
.00
.10
.10
.10
.10
.10
.12
. P
op
ula
tion
5.0
5.0
19
.52
.02
.07
.86
.06
.02
3.4
1.0
1.0
3.9
4.0
4.0
15
.63
.03
.01
1.7
3.9
3.9
3.9
3.9
3.9
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
2
.05
.04
.05
.03
.01
.03
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t5
.03
.06
.04
.02
.01
.04
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
4.0
3.0
5.0
5.0
2.0
1.0
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
2.0
3.0
4.0
5.0
1.0
6.0
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)5
.04
.03
.01
.06
.02
.05b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
3.0
4.0
2.0
5.0
6.0
1.0
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
3.0
1.0
5.0
4.0
2.0
6.0
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
4.0
3.5
3.0
6.0
3.5
5.0
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S3
.03
.54
.06
.03
.55
.06
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S3
.03
.55
.06
.03
.55
.01
01
01
01
01
0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(1)
40
.25
HS
28
.35
SA
(1)
49
.25
FA
(2)
32
.55
LW
(1)
34
.05
PU
30
.55
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(1)
40
.50
HS
29
.60
SA
(1)
50
.83
FA
(2)
32
.13
LW
(1)
32
.97
PU
26
.30
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(1)
39
.50
HS
27
.60
SA
(1)
49
.83
FA
(2)
33
.13
LW
(1)
30
.97
PU
31
.30
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(1)
40
.83
HS
27
.60
SA
(1)
47
.50
FA
(2)
29
.80
LW
(1)
37
.30
PU
30
.30
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(1)
40
.17
HS
28
.60
SA
(1)
48
.83
FA
(2)
35
.13
LW
(1)
34
.97
PU
34
.30
1
1
11
13
11
34
.5
1.0
1.5
1
13
11
31
5.3
5.0
7.5
4.0
6.0
5.3
7.0
5.0
5.0
3.0
3.0
2.5
3.8
1.5
2.3
3.5
9.0
4.7
6.8
7.5
3.5
3.3
6.0
4.5
5.0
3.3
5.0
4.0
4.5
3.0
4.5
3.7
3.0
FA
(2)
LW
(1)
1.5
5.3
7.5
HP
(1)
HS
SA
(1)
PU
3.5
1.5
5.5
4.5
3.5
5.3
4.5
6.8
3.3
5.0
6.0
TO
TA
L W
EIG
HT
ED
SC
OR
ES
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 1
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 1
1.5
1.5
KE
Y:
6 =
GR
EA
TE
ST
NE
ED
, 1
= L
EA
ST
NE
ED
SH
AD
ED
CE
LLS
= A
VE
RA
GE
IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-25
A
PP
EN
DIX
2 -
SIM
PLE
RA
NK
SC
OR
ING
RA
NK
SC
OR
ES
AN
D D
ER
IVE
D W
EIG
HT
ED
SC
OR
ES
BY
PR
OD
UC
TIO
N S
YS
TE
M A
ND
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
ra
nk
sco
re,
me
an
ra
nk
sco
re a
nd
we
igh
ted
me
an
ra
nk
sco
re (
usi
ng
Sce
na
rio
1 w
eig
hts
*)
for
ea
ch c
ha
ract
eri
satio
n c
rite
rio
n
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )5
.05
.00
.53
.03
.00
.36
.06
.00
.64
.04
.00
.42
.02
.00
.21
.01
.00
.10
.10
.10
.10
.10
.12
. P
op
ula
tion
5.0
5.0
19
.51
.01
.03
.96
.06
.02
3.4
2.0
2.0
7.8
4.0
4.0
15
.63
.03
.01
1.7
3.9
3.9
3.9
3.9
3.9
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
3
.06
.04
.05
.02
.01
.03
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t5
.02
.06
.04
.03
.01
.04
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
4.0
3.0
6.0
5.0
2.0
1.0
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
2.0
4.0
3.0
5.0
1.0
6.0
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)5
.05
.04
.01
.02
.03
.05b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
4.0
5.0
2.0
3.0
6.0
1.0
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
4.0
1.0
5.0
2.0
3.0
6.0
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
4.0
3.5
3.0
6.0
3.5
5.0
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S3
.03
.54
.06
.03
.55
.06
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S3
.03
.54
.06
.03
.54
.01
01
01
01
01
0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(2)
42
.00
HS
26
.20
SA
(2)
49
.25
FA
(1)
34
.45
LW
(2)
32
.55
PU
30
.55
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(2)
42
.67
HS
26
.87
SA
(2)
50
.83
FA
(1)
34
.70
LW
(2)
31
.97
PU
26
.30
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(2)
40
.67
HS
25
.87
SA
(2)
49
.83
FA
(1)
35
.70
LW
(2)
29
.97
PU
31
.30
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(2)
43
.33
HS
26
.20
SA
(2)
48
.17
FA
(1)
29
.70
LW
(2)
34
.30
PU
30
.97
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(2)
41
.33
HS
25
.87
SA
(2)
48
.17
FA
(1)
37
.70
LW
(2)
33
.97
PU
33
.63
TO
TA
L W
EIG
HT
ED
SC
OR
ES
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 2
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 2
11
31 3
1.5
11
13
.55
.34
.77
.03
.75
.56
.09
.03
.35
.03
.55
.3
5.5
3.3
5.0
1.5
1
4.3
6.5
3.7
5.5
3.7
5.5
2.0
3.0
3.7
1.5
13
11
.52
.33
.55
.34
.56
.85
.07
.53
.04
.53
.55
.3
31
11
3.8
1.0
1.5
1.5
4.0
6.0
4.0
6.0
2.5
5.0
7.5
4.5
6.8
LW
(2)
PU
HP
(2)
HS
SA
(2)
FA
(1)
KE
Y:
6 =
GR
EA
TE
ST
NE
ED
, 1
= L
EA
ST
NE
ED
SH
AD
ED
CE
LLS
= A
VE
RA
GE
IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-26
A
PP
EN
DIX
2 -
SIM
PLE
RA
NK
SC
OR
ING
RA
NK
SC
OR
ES
AN
D D
ER
IVE
D W
EIG
HT
ED
SC
OR
ES
BY
PR
OD
UC
TIO
N S
YS
TE
M A
ND
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
ra
nk
sco
re,
me
an
ra
nk
sco
re a
nd
we
igh
ted
me
an
ra
nk
sco
re (
usi
ng
Sce
na
rio
1 w
eig
hts
*)
for
ea
ch c
ha
ract
eri
satio
n c
rite
rio
n
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )5
.05
.00
.53
.03
.00
.36
.06
.00
.64
.04
.00
.42
.02
.00
.21
.01
.00
.10
.10
.10
.10
.10
.12
. P
op
ula
tion
5.0
5.0
19
.51
.01
.03
.96
.06
.02
3.4
2.0
2.0
7.8
4.0
4.0
15
.63
.03
.01
1.7
3.9
3.9
3.9
3.9
3.9
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
2
.06
.04
.05
.03
.01
.03
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t5
.02
.06
.04
.03
.01
.04
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
4.0
2.0
6.0
5.0
3.0
1.0
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
2.0
4.0
3.0
5.0
1.0
6.0
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)5
.04
.03
.01
.06
.02
.05b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
4.0
5.0
2.0
3.0
6.0
1.0
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
4.0
1.0
5.0
2.0
3.0
6.0
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
4.0
3.5
3.0
6.0
3.5
5.0
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S3
.03
.54
.06
.03
.55
.06
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S3
.03
.54
.06
.03
.54
.01
01
01
01
01
0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(1)
41
.25
HS
24
.95
SA
(1)
48
.75
FA
(1)
34
.45
LW
(3)
36
.05
PU
30
.05
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(1)
41
.17
HS
26
.03
SA
(1)
50
.50
FA
(1)
34
.70
LW
(3)
35
.30
PU
25
.97
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(1)
40
.17
HS
24
.03
SA
(1)
49
.50
FA
(1)
35
.70
LW
(3)
33
.30
PU
30
.97
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(1)
42
.83
HS
24
.70
SA
(1)
47
.17
FA
(1)
29
.70
LW
(3)
39
.30
PU
29
.97
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(1)
40
.83
HS
25
.03
SA
(1)
47
.83
FA
(1)
37
.70
LW
(3)
36
.30
PU
33
.30
* /
Sce
na
rio
1 i
s u
sed
as
an
exa
mp
le s
ho
win
g h
ow
th
e v
alu
es
for
the
to
tal
we
igh
ted
sco
res
of
ea
ch s
cen
ari
o w
ere
ge
ne
rate
d.
1.5
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 3
HP
(1)
HS
SA
(1)
FA
(1)
3.0
LW
(3)
PU
4.5
1.0
1.5
5.0
7.5
4.5
6.8
3.5
5.3
4.0
6.0
31
11
3.0
4.5
3.0
4.5
4.5
6.8
5.0
7.5
2.0
3.0
3.5
5.3
1.5
13
11
4.3
6.5
3.3
5.0
3.3
5.0
2.0
3.0
5.0
7.5
3.0
4.5
1.5
11
31
3.3
5.0
3.5
5.3
3.7
5.5
6.0
9.0
11
3.5
5.3
4.7
7.0
Scenario 4 Weights
Scenario 5 Weights
Wei
gh
tin
g S
cen
ario
s
TO
TA
L W
EIG
HT
ED
SC
OR
ES
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 3
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
31
.51
KE
Y:
6 =
GR
EA
TE
ST
NE
ED
, 1
= L
EA
ST
NE
ED
SH
AD
ED
CE
LLS
= A
VE
RA
GE
IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-27
AP
PE
ND
IX 2
- S
IMP
LE R
AN
K S
CO
RIN
G
PO
PU
LAT
ION
DO
UB
LE C
OU
NT
ED
FO
R B
AN
GLA
DE
SH
(H
P A
ND
LW
) A
ND
NE
PA
L (H
S A
ND
FA
)
WE
IGH
TE
D IM
PO
RT
AN
CE
SC
OR
ES
SU
MM
AR
Y B
Y P
RO
DU
CT
ION
SY
ST
EM
AN
D IM
PLI
CA
TIO
NS
FO
R N
RS
P's
BU
DG
ET
ALL
OC
AT
ION
S
HP
(1)
HS
SA
(1)
FA
(2)
LW
(1)
PU
HP
(2)
HS
SA
(2)
FA
(1)
LW
(2)
PU
HP
(1)
HS
SA
(1)
FA
(1)
LW
(3)
PU
40
.25
28
.35
49
.25
32
.55
34
.05
30
.55
42
.00
26
.20
49
.25
34
.45
32
.55
30
.55
41
.25
24
.95
48
.75
34
.45
36
.05
30
.05
51
63
42
51
64
32
51
63
42
40
.50
29
.60
50
.83
32
.13
32
.97
26
.30
42
.67
26
.87
50
.83
34
.70
31
.97
26
.30
41
.17
26
.03
50
.50
34
.70
35
.30
25
.97
52
63
41
52
64
31
52
63
41
39
.50
27
.60
49
.83
33
.13
30
.97
31
.30
40
.67
25
.87
49
.83
35
.70
29
.97
31
.30
40
.17
24
.03
49
.50
35
.70
33
.30
30
.97
51
64
23
51
64
23
51
64
32
40
.83
27
.60
47
.50
29
.80
37
.30
30
.30
43
.33
26
.20
48
.17
29
.70
34
.30
30
.97
42
.83
24
.70
47
.17
29
.70
39
.30
29
.97
51
62
43
51
62
43
51
62
43
40
.17
28
.60
48
.83
35
.13
34
.97
34
.30
41
.33
25
.87
48
.17
37
.70
33
.97
33
.63
40
.83
25
.03
47
.83
37
.70
36
.30
33
.30
51
64
32
51
64
32
51
64
32
40.2
528
.35
49.2
532
.55
34.0
530
.55
Mea
n S
core
per
P
S,
acr
oss
all
sce
na
rio
s
42.0
026
.20
49.2
534
.45
32.5
530
.55
Me
an
S
core
per
P
S,
acr
oss
all
sce
na
rio
s
41.2
524
.95
48.7
534
.45
36.0
530
.05
51
63
42
Sim
ple
ra
nk
acr
oss
P
Ss
51
64
32
Ra
nk
acr
oss
P
Ss
51
63
42
18.7
213
.19
22.9
115
.14
15.8
414
.21
Re
lativ
e
rank
a
cro
ss
PS
s
19.5
312
.19
22.9
116
.02
15.1
414
.21
Re
lativ
e
rank
a
cro
ss
PS
s
19.1
411
.58
22.6
215
.99
16.7
313
.94
WE
IGH
TE
D IM
PO
RT
AN
CE
SC
OR
ES
HP
HS
SA
FA
LW
PU
Mea
n S
core
per
PS
acr
oss
V1,
V2
& V
3, w
ith D
oubl
e C
ount
ing
41.1
726
.50
49.0
833
.82
34.2
230
.38
Mea
n S
core
per
PS
for S
cena
rio 4
acr
oss
V1,
2 &
3, w
ith D
oubl
e C
ount
ing
42.3
326
.17
47.6
129
.73
36.9
730
.41
Ove
rall
Impo
rtan
ce R
ank
base
d on
all
Sce
nario
s (
6 =
Gre
ates
t Nee
d)5
16
34
2
Impl
icat
ion
for
% B
udge
t Allo
catio
n19
.112
.322
.815
.715
.914
.1
Ove
rall
Impo
rtanc
e R
ank
base
d on
Sce
nario
4 (
6 =
Gre
ates
t Nee
d)5
16
24
3
Impl
icat
ion
for
% B
udge
t Allo
catio
n19
.912
.322
.313
.917
.314
.3
** /
Ran
k sc
ores
are
bas
ed o
n w
eigh
ted
scor
es v
alue
s re
ad to
sev
en d
ecim
al p
lace
s
5
To
tal
sco
re,
sum
fo
r a
ll cr
iteri
a &
PS
ra
nki
ng
, V
1**
1 2 3
Sce
na
rio
R
ef N
o.T
ota
l sc
ore
, su
m f
or
all
crite
ria
& P
S r
an
kin
g,
V2
**S
cen
ari
o
Ref
No.
4
3 4 5
To
tal
sco
re,
sum
fo
r a
ll cr
iteri
a &
PS
ra
nki
ng
, V
3**
1 2
KE
Y:
6 =
GR
EA
TE
ST
NE
ED
, 1
= L
EA
ST
NE
ED
App-28
A
PP
EN
DIX
3 -
RE
LATI
VE
SC
OR
ING
OF
PR
OD
UC
TIO
N S
YS
TEM
BY
EA
CH
CH
AR
AC
TER
ISA
TIO
N C
RIT
ER
ION
P
OP
ULA
TIO
N D
OU
BLE
CO
UN
TE
D F
OR
BA
NG
LAD
ES
H (H
P A
ND
LW
) AN
D N
EP
AL
(HS
AN
D F
A)
HP
(1)
HS
SA
(1)
FA
(2)
LW
(1)
PU
521,
307
278,
927
1,50
5,33
237
4,47
215
3,36
20
0.35
0.19
1.00
0.25
0.10
0.00
201,
480,
731
14,9
13,8
9624
9,17
2,03
212
,590
,380
70,6
90,2
5142
,846
,239
0.81
0.06
1.00
0.05
0.28
0.17
4.17
1.67
3.17
1.67
4.00
5.00
0.40
1.00
0.53
1.00
0.42
0.33
0.10
0.15
0.03
0.11
0.21
1.00
0.28
0.18
1.00
0.25
0.13
0.03
133.
3396
.67
183.
3318
3.33
80.0
00.
000.
730.
531.
001.
000.
440.
004.
002.
172.
001.
834.
500.
000.
460.
850.
921.
000.
410.
001,
452
1,55
61,
653
2,30
11,
050
1,66
70.
720.
670.
640.
461.
000.
6351
.31
49.9
654
.60
49.7
538
.90
54.6
30.
758
0.77
90.
712
0.78
21.
000
0.71
256
.30
63.4
255
.40
55.7
857
.00
53.3
80.
948
0.84
20.
964
0.95
70.
937
1.00
00.
1539
n/a
0.15
450.
0961
n/a
0.15
290.
625
0.71
90.
622
1.00
00.
719
0.62
92,
491
n/a
1,88
577
n/a
249
0.03
0.35
0.04
1.00
0.35
0.31
10n/
a6
4n/
a6
0.40
0.68
0.67
1.00
0.68
0.67
6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
5b 5c 6a 6b3b 4a 4b 5a
Land
are
a (k
m2 )
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 1
Ch
arac
teri
sati
on
Cri
teri
aR
ef
1 2
Market Feasibility Potential
Poverty status (National data)
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Ass
essm
ent o
f Exp
ort P
oten
tial
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Pop
ulat
ion
(Ban
glad
esh
& N
epal
dou
ble
coun
ted)
3a
NR Knowledge Base (National
data)
Land
Pro
duct
ivity
Pot
entia
l
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
man
ually
to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
PU h
as m
arke
ts b
ut is
re
stric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pr
oduc
tivity
pot
entia
l).
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-Urb
an w
here
tota
l pop
ulat
ion
was
use
d.
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-29
AP
PE
ND
IX 3
- R
ELA
TIV
E S
CO
RIN
G O
F P
RO
DU
CTI
ON
SY
STE
M B
Y E
AC
H C
HA
RA
CTE
RIS
ATI
ON
CR
ITE
RIO
N
PO
PU
LAT
ION
DO
UB
LE C
OU
NT
ED
FO
R B
AN
GLA
DE
SH
(HP
AN
D L
W) A
ND
NE
PA
L (H
S A
ND
FA
)
HP
(2)
HS
SA
(2)
FA
(1)
LW
(2)
PU
695,
117
278,
927
2,24
2,35
338
6,48
018
7,48
30
0.31
0.12
1.00
0.17
0.08
0.00
260,
798,
296
14,9
13,8
9640
7,63
2,64
515
,685
,378
79,7
70,3
0842
,846
,239
0.64
0.03
71.
000.
038
0.20
0.11
4.17
1.67
3.50
2.33
4.33
5.00
0.40
1.00
0.48
0.71
0.38
0.33
0.10
0.15
0.03
0.10
0.11
1.00
0.29
0.19
1.00
0.28
0.26
0.03
133.
3396
.67
200.
0016
6.67
83.3
30.
000.
670.
481.
000.
830.
420.
004.
172.
172.
831.
835.
000.
000.
440.
850.
651.
000.
370.
001,
502
1,55
61,
644
2,15
71,
160
1,66
70.
770.
750.
710.
541.
000.
7051
.82
49.9
654
.45
54.3
440
.19
54.6
30.
776
0.80
40.
738
0.74
01.
000
0.73
655
.77
63.4
255
.46
60.2
758
.01
53.3
80.
957
0.84
20.
963
0.88
60.
920
1.00
00.
1539
n/a
0.15
450.
0961
n/a
0.15
290.
625
0.71
90.
622
1.00
00.
719
0.62
92,
889
n/a
3,04
914
8n/
a24
90.
050.
420.
051.
000.
420.
599
n/a
67
n/a
60.
670.
881.
000.
860.
881.
00
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s, V
ersi
on
2
Land
are
a (k
m2 )
Pop
ulat
ion
(Ban
glad
esh
& N
epal
dou
ble
coun
ted)
Re
f
1 2 3a 3b 4a 4b 5a 5b 5c 6a 6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-U
rban
whe
re to
tal p
opul
atio
n w
as
used
PU h
as m
arke
ts b
ut is
res
tric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pro
duct
ivity
po
tent
ial).
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
man
ually
to
acco
mm
odat
e th
e av
erag
ed
valu
es.
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-30
A
PP
EN
DIX
3 -
RE
LAT
IVE
SC
OR
ING
OF
PR
OD
UC
TIO
N S
YS
TE
M B
Y E
AC
H C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
ION
P
OP
ULA
TIO
N D
OU
BLE
CO
UN
TE
D F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
HP
(1)
HS
SA
(1)
FA
(1)
LW
(3)
PU
521,
307
278,
927
1,50
5,33
237
4,47
212
4,14
90
0.35
0.19
1.00
0.25
0.08
0.00
201,
480,
731
14,9
13,8
9624
9,17
2,03
215
,685
,378
77,4
63,6
0842
,846
,239
0.81
0.06
1.00
0.06
0.31
0.17
4.17
1.67
3.17
1.67
4.00
5.00
0.40
1.00
0.53
1.00
0.42
0.33
0.10
0.15
0.03
0.11
0.14
1.00
0.28
0.18
1.00
0.25
0.20
0.03
133.
3396
.67
183.
3318
3.33
100.
000.
000.
730.
531.
001.
000.
550.
004.
002.
172.
001.
835.
000.
000.
460.
850.
921.
000.
370.
001,
452
1,55
61,
653
2,30
11,
050
1,66
70.
720.
670.
640.
461.
000.
6351
.31
49.9
654
.60
49.7
538
.90
54.6
30.
758
0.77
90.
712
0.78
21.
000
0.71
256
.30
63.4
255
.40
55.7
857
.00
53.3
80.
948
0.84
20.
964
0.95
70.
937
1.00
00.
1539
n/a
0.15
450.
0961
n/a
0.15
290.
625
0.71
90.
622
1.00
00.
719
0.62
92,
491
n/a
1,88
577
n/a
249
0.03
0.35
0.04
1.00
0.35
0.31
10n/
a6
4n/
a6
0.40
0.68
0.67
1.00
0.68
0.67
6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
5a 5b 5c 6a3a 3b 4a 4b
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s, V
ersi
on
3
Land
are
a (k
m2 )
Pop
ulat
ion
(Ban
glad
esh
& N
epal
dou
ble
coun
ted)
Re
f
1 2
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-Urb
an w
here
tota
l pop
ulat
ion
was
use
d.
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
man
ually
to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
PU h
as m
arke
ts b
ut is
re
stric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pr
oduc
tivity
pot
entia
l).
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-31
A
PP
EN
DIX
3 -
RE
LAT
IVE
SC
OR
ING
P
OP
ULA
TIO
N D
OU
BLE
CO
UN
TE
D F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
RE
LAT
IVE
SC
OR
ES
AN
D D
ER
IVE
D W
EIG
HT
ED
SC
OR
ES
BY
PR
OD
UC
TIO
N S
YS
TE
M A
ND
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
re
lativ
e s
core
, m
ea
n r
ela
tive
sco
re a
nd
we
igh
ted
me
an
re
lativ
e s
core
(u
sin
g S
cen
ari
o 1
we
igh
ts*)
fo
r e
ach
ch
ara
cte
risa
tion
cr
iteri
on
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )0
.35
0.3
50
.00
0.1
90
.19
0.0
01
.00
1.0
00
.01
0.2
50
.25
0.0
00
.10
0.1
00
.00
0.0
00
.00
0.0
00
.01
0.0
10
.01
0.0
10
.01
2.
Po
pu
latio
n0
.81
0.8
10
.32
0.0
60
.06
0.0
21
.00
1.0
00
.39
0.0
50
.05
0.0
20
.28
0.2
80
.11
0.1
70
.17
0.0
70
.39
0.3
90
.39
0.3
90
.39
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
0
.40
1.0
00
.53
1.0
00
.42
0.3
33
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t0
.28
0.1
81
.00
0.2
50
.13
0.0
34
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
0.7
30
.53
1.0
01
.00
0.4
40
.00
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
0.4
60
.85
0.9
21
.00
0.4
10
.00
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)0
.72
0.6
70
.64
0.4
61
.00
0.6
35b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
0.7
60
.78
0.7
10
.78
1.0
00
.71
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
0.9
50
.84
0.9
60
.96
0.9
41
.00
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
0.6
20
.72
0.6
21
.00
0.7
20
.63
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S0
.03
0.3
50
.04
1.0
00
.35
0.3
16
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S0
.40
0.6
80
.67
1.0
00
.68
0.6
71
.01
.01
.01
.01
.0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(1)
0.6
3H
S0
.42
SA
(1)
0.8
4F
A(2
)0
.53
LW
(1)
0.4
5P
U0
.29
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(1)
0.6
0H
S0
.41
SA
(1)
0.8
5F
A(2
)0
.48
LW
(1)
0.3
8P
U0
.25
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(1)
0.6
5H
S0
.43
SA
(1)
0.8
9F
A(2
)0
.56
LW
(1)
0.4
1P
U0
.22
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(1)
0.6
9H
S0
.44
SA
(1)
0.8
5F
A(2
)0
.50
LW
(1)
0.5
2P
U0
.37
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(1)
0.6
0H
S0
.40
SA
(1)
0.7
8F
A(2
)0
.56
LW
(1)
0.4
4P
U0
.32
* /
Sce
na
rio
1 i
s u
sed
as
an
exa
mp
le s
ho
win
g h
ow
th
e v
alu
es
for
the
to
tal
we
igh
ted
sco
res
of
ea
ch s
cen
ari
o w
ere
ge
ne
rate
d.
SA
(1)
FA
(2)
LW
(1)
PU
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 1
0.3
40
.05
0.5
90
.09
0.7
60
.11
0.6
2
HP
(1)
HS
0.0
90
.27
0.0
40
.18
0.0
30
.15
0.3
0.1
0.1
0.1
0.5
90
.09
0.6
90
.10
0.9
60
.14
1.0
00
.15
0.4
20
.06
0.0
00
.00
0.1
50
.10
.30
.10
.1
0.8
10
.12
0.7
70
.11
0.7
70
.12
0.7
30
.11
0.9
80
.15
0.7
80
.12
0.1
50
.10
.10
.30
.1
0.3
50
.05
0.5
80
.09
0.4
40
.07
1.0
00
.15
0.1
0.1
0.5
80
.09
0.5
30
.08
TO
TA
L W
EIG
HT
ED
RE
LA
TIV
E S
CO
RE
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 1
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
0.3
0.1
50
.1
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E I
N L
IEU
OF
SU
ITA
BLE
DA
TA
App-32
A
PP
EN
DIX
3 -
RE
LAT
IVE
SC
OR
ING
P
OP
ULA
TIO
N D
OU
BLE
CO
UN
TE
D F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
RE
LAT
IVE
SC
OR
ES
AN
D D
ER
IVE
D W
EIG
HT
ED
SC
OR
ES
BY
PR
OD
UC
TIO
N S
YS
TE
M A
ND
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
re
lativ
e s
core
, m
ea
n r
ela
tive
sco
re a
nd
we
igh
ted
me
an
re
lativ
e s
core
(u
sin
g S
cen
ari
o 1
we
igh
ts*)
fo
r e
ach
ch
ara
cte
risa
tion
cr
iteri
on
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )0
.31
0.3
10
.00
0.1
20
.12
0.0
01
.00
1.0
00
.01
0.1
70
.17
0.0
00
.08
0.0
80
.00
0.0
00
.00
0.0
00
.01
0.0
10
.01
0.0
10
.01
2.
Po
pu
latio
n0
.64
0.6
40
.25
0.0
40
.04
0.0
11
.00
1.0
00
.39
0.0
40
.04
0.0
20
.20
0.2
00
.08
0.1
10
.11
0.0
40
.39
0.3
90
.39
0.3
90
.39
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
0
.40
1.0
00
.48
0.7
10
.38
0.3
33
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t0
.29
0.1
91
.00
0.2
80
.26
0.0
34
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
0.6
70
.48
1.0
00
.83
0.4
20
.00
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
0.4
40
.85
0.6
51
.00
0.3
70
.00
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)0
.77
0.7
50
.71
0.5
41
.00
0.7
05b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
0.7
80
.80
0.7
40
.74
1.0
00
.74
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
0.9
60
.84
0.9
60
.89
0.9
21
.00
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
0.6
20
.72
0.6
21
.00
0.7
20
.63
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S0
.05
0.4
20
.05
1.0
00
.42
0.5
96
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S0
.67
0.8
81
.00
0.8
60
.88
1.0
01
.01
.01
.01
.01
.0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(2)
0.5
8H
S0
.43
SA
(2)
0.8
4F
A(1
)0
.48
LW
(2)
0.4
3P
U0
.30
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(2)
0.5
4H
S0
.41
SA
(2)
0.7
7F
A(1
)0
.43
LW
(2)
0.3
8P
U0
.25
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(2)
0.5
8H
S0
.42
SA
(2)
0.8
6F
A(1
)0
.51
LW
(2)
0.3
9P
U0
.21
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(2)
0.6
4H
S0
.45
SA
(2)
0.8
5F
A(1
)0
.47
LW
(2)
0.5
1P
U0
.38
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(2)
0.5
6H
S0
.42
SA
(2)
0.8
0F
A(1
)0
.52
LW
(2)
0.4
5P
U0
.36
* /
Sce
na
rio
1 i
s u
sed
as
an
exa
mp
le s
ho
win
g h
ow
th
e v
alu
es
for
the
to
tal
we
igh
ted
sco
res
of
ea
ch s
cen
ari
o w
ere
ge
ne
rate
d.
TO
TA
L W
EIG
HT
ED
RE
LA
TIV
E S
CO
RE
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 2
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
0.3
0.1
50
.10
.10
.10
.67
0.1
00
.74
0.1
10
.56
0.0
80
.95
0.1
40
.45
0.0
70
.67
0.1
0
0.1
0.1
0.3
0.1
0.1
50
.81
0.1
20
.15
0.1
0.8
40
.13
0.8
00
.12
0.8
00
.12
0.7
20
.11
0.9
7
0.1
50
.10
.30
.10
.39
0.0
60
.00
0.0
0
0.1
0.1
0.5
50
.08
0.6
60
.10
0.8
20
.12
0.9
20
.14
0.0
30
.15
0.3
0.1
0.0
70
.32
0.0
50
.18
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 2
0.3
40
.05
0.6
00
.09
0.7
40
.11
0.5
0
HP
(2)
HS
SA
(2)
FA
(1)
LW
(2)
PU
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E I
N L
IEU
OF
SU
ITA
BLE
DA
TA
App-33
AP
PE
ND
IX 3
- R
ELA
TIV
E S
CO
RIN
G
PO
PU
LAT
ION
DO
UB
LE C
OU
NT
ED
FO
R B
AN
GLA
DE
SH
(H
P A
ND
LW
) A
ND
NE
PA
L (H
S A
ND
FA
)
RE
LAT
IVE
SC
OR
ES
AN
D D
ER
IVE
D W
EIG
HT
ED
SC
OR
ES
BY
PR
OD
UC
TIO
N S
YS
TE
M A
ND
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
re
lativ
e s
core
, m
ea
n r
ela
tive
sco
re a
nd
we
igh
ted
me
an
re
lativ
e s
core
(u
sin
g S
cen
ari
o 1
we
igh
ts*)
fo
r e
ach
ch
ara
cte
risa
tion
cr
iteri
on
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )0
.35
0.3
50
.00
0.1
90
.19
0.0
01
.00
1.0
00
.01
0.2
50
.25
0.0
00
.08
0.0
80
.00
0.0
00
.00
0.0
00
.01
0.0
10
.01
0.0
10
.01
2.
Po
pu
latio
n0
.81
0.8
10
.32
0.0
60
.06
0.0
21
.00
1.0
00
.39
0.0
60
.06
0.0
20
.31
0.3
10
.12
0.1
70
.17
0.0
70
.39
0.3
90
.39
0.3
90
.39
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
0
.40
1.0
00
.53
1.0
00
.42
0.3
33
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t0
.28
0.1
81
.00
0.2
50
.20
0.0
34
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
0.7
30
.53
1.0
01
.00
0.5
50
.00
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
0.4
60
.85
0.9
21
.00
0.3
70
.00
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)0
.72
0.6
70
.64
0.4
61
.00
0.6
35b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
0.7
60
.78
0.7
10
.78
1.0
00
.71
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
0.9
50
.84
0.9
60
.96
0.9
41
.00
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
0.6
20
.72
0.6
21
.00
0.7
20
.63
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S0
.03
0.3
50
.04
1.0
00
.35
0.3
16
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S0
.40
0.6
80
.67
1.0
00
.68
0.6
71
.01
.01
.01
.01
.0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(1)
0.6
3H
S0
.42
SA
(1)
0.8
4F
A(1
)0
.53
LW
(3)
0.4
7P
U0
.29
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(1)
0.6
0H
S0
.41
SA
(1)
0.8
5F
A(1
)0
.49
LW
(3)
0.4
2P
U0
.25
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(1)
0.6
5H
S0
.43
SA
(1)
0.8
9F
A(1
)0
.56
LW
(3)
0.4
5P
U0
.22
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(1)
0.6
9H
S0
.44
SA
(1)
0.8
5F
A(1
)0
.51
LW
(3)
0.5
5P
U0
.37
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(1)
0.6
0H
S0
.40
SA
(1)
0.7
8F
A(1
)0
.56
LW
(3)
0.4
7P
U0
.32
* /
Sce
na
rio
1 i
s u
sed
as
an
exa
mp
le s
ho
win
g h
ow
th
e v
alu
es
for
the
to
tal
we
igh
ted
sco
res
of
ea
ch s
cen
ari
o w
ere
ge
ne
rate
d.
LW
(3)
PU
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 3
HP
(1)
HS
SA
(1)
FA
(1)
0.7
60
.11
0.6
20
.09
0.3
40
.05
0.5
90
.09
0.3
10
.05
0.1
80
.03
0.1
50
.30
.10
.10
.1
0.5
90
.09
0.6
90
.10
0.9
60
.14
1.0
00
.15
0.4
60
.07
0.0
00
.00
0.1
50
.10
.30
.10
.1
0.8
10
.12
0.7
70
.11
0.1
20
.77
0.1
20
.73
0.1
10
.98
0.1
5
0.0
80
.15
0.3
50
.05
0.5
80
.09
0.4
40
.07
1.0
00
.15
0.1
0.5
8
0.7
80
.15
0.1
0.1
0.3
0.3
0.0
90
.53
TO
TA
L W
EIG
HT
ED
RE
LA
TIV
E S
CO
RE
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 3
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
0.1
0.1
0.1
FR
AC
TIO
NA
L S
CO
RIN
G R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E I
N L
IEU
OF
SU
ITA
BLE
DA
TA
App-34
A
PP
EN
DIX
3 -
RE
LAT
IVE
SC
OR
ING
SU
MM
AR
Y
P
OP
ULA
TIO
N D
OU
BLE
CO
UN
TE
D F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
WE
IGH
TE
D IM
PO
RT
AN
CE
SC
OR
ES
SU
MM
AR
Y B
Y P
RO
DU
CT
ION
SY
ST
EM
AN
D IM
PLI
CA
TIO
NS
FO
R N
RS
P's
BU
DG
ET
ALL
OC
AT
ION
S
HP
(1)
HS
SA
(1)
FA
(2)
LW
(1)
PU
HP
(2)
HS
SA
(2)
FA
(1)
LW
(2)
PU
HP
(1)
HS
SA
(1)
FA
(1)
LW
(3)
PU
0.6
30
.42
0.8
40
.53
0.4
50
.29
0.5
80
.43
0.8
40
.48
0.4
30
.30
0.6
30
.42
0.8
40
.53
0.4
70
.29
52
64
31
52
64
31
52
64
31
0.6
00
.41
0.8
50
.48
0.3
80
.25
0.5
40
.41
0.7
70
.43
0.3
80
.25
0.6
00
.41
0.8
50
.49
0.4
20
.25
53
64
21
53
64
21
52
64
31
0.6
50
.43
0.8
90
.56
0.4
10
.22
0.5
80
.42
0.8
60
.51
0.3
90
.21
0.6
50
.43
0.8
90
.56
0.4
50
.22
53
64
21
53
64
21
52
64
31
0.6
90
.44
0.8
50
.50
0.5
20
.37
0.6
40
.45
0.8
50
.47
0.5
10
.38
0.6
90
.44
0.8
50
.51
0.5
50
.37
52
63
41
52
63
41
52
63
41
0.6
00
.40
0.7
80
.56
0.4
40
.32
0.5
60
.42
0.8
00
.52
0.4
50
.36
0.6
00
.40
0.7
80
.56
0.4
70
.32
52
64
31
52
64
31
52
64
31
0.63
0.42
0.83
0.53
0.44
0.30
Mea
n S
core
pe
r P
S,
acro
ss a
ll sc
enar
ios
0.58
0.42
0.82
0.49
0.43
0.31
Mea
n S
core
pe
r P
S,
acro
ss a
ll sc
enar
ios
0.63
0.42
0.83
0.54
0.47
0.30
52
64
31
Sim
ple
ra
nk
acr
oss
P
Ss
52
64
31
Sim
ple
ra
nk
acr
oss
P
Ss
52
64
31
19.9
313
.25
26.3
816
.94
14.0
39.
48
Re
lativ
e
rank
a
cro
ss
PS
s 18
.82
13.9
026
.97
15.9
414
.13
10.2
4
Re
lativ
e
rank
a
cro
ss
PS
s 19
.71
13.1
026
.09
16.9
014
.83
9.38
WE
IGH
TE
D IM
PO
RT
AN
CE
SC
OR
ES
HP
HS
SA
FA
LW
PU
Mea
n S
core
per
PS
acr
oss
V1,
V2
& V
3, w
ith D
oubl
e C
ount
ing
0.61
0.42
0.83
0.52
0.45
0.30
Mea
n S
core
per
PS
for S
cena
rio 4
acr
oss
V1,
2 &
3, w
ith D
oubl
e C
ount
ing
0.67
0.44
0.85
0.49
0.53
0.37
Ove
rall
Impo
rtan
ce R
ank
base
d on
all
Sce
nario
s (
6 =
Gre
ates
t Nee
d)5
26
43
1
Impl
icat
ion
for
% B
udge
t Allo
catio
n19
.513
.426
.516
.614
.39.
7
Ove
rall
Impo
rtanc
e R
ank
base
d on
Sce
nario
4 (
6 =
Gre
ates
t Nee
d)5
26
34
1
Impl
icat
ion
for
% B
udge
t Allo
catio
n20
.013
.225
.314
.715
.711
.1
** /
Ran
k sc
ores
are
bas
ed o
n w
eigh
ted
scor
es v
alue
s re
ad to
sev
en d
ecim
al p
lace
s
55
33
44
22
Sce
na
rio
R
ef N
o.S
cen
ari
o
Ref
No.
To
tal
sco
re,
sum
fo
r a
ll cr
iteri
a &
PS
ra
nki
ng
, V
2**
To
tal
sco
re,
sum
fo
r a
ll cr
iteri
a &
PS
ra
nki
ng
, V
1**
To
tal
sco
re,
sum
fo
r a
ll cr
iteri
a &
PS
ra
nki
ng
, V
3**
11
KE
Y:
6 =
GR
EA
TE
ST
NE
ED
, 1
= L
EA
ST
NE
ED
App-35
A
PP
EN
DIX
4 -
RE
LAT
IVE
SC
OR
ING
OF
PR
OD
UC
TIO
N S
YS
TE
M B
Y E
AC
H C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
ION
A
DJU
ST
ED
PO
PU
LAT
ION
S F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
HP
(1)
HS
SA
(1)
FA
(2)
LW
(1)
PU
521,
307
278,
927
1,50
5,33
237
4,47
215
3,36
20
0.35
0.19
1.00
0.25
0.10
0.00
170,
737,
361
9,58
6,79
424
9,17
2,03
27,
263,
278
39,9
46,8
8242
,846
,239
0.69
0.04
1.00
0.03
0.16
0.17
4.17
1.67
3.17
1.67
4.00
5.00
0.40
1.00
0.53
1.00
0.42
0.33
0.10
0.15
0.03
0.11
0.21
1.00
0.28
0.18
1.00
0.25
0.13
0.03
133.
3396
.67
183.
3318
3.33
80.0
00.
000.
730.
531.
001.
000.
440.
004.
002.
172.
001.
834.
500.
000.
460.
850.
921.
000.
410.
001,
452
1,55
61,
653
2,30
11,
050
1,66
70.
720.
670.
640.
461.
000.
6351
.31
49.9
654
.60
49.7
538
.90
54.6
30.
758
0.77
90.
712
0.78
21.
000
0.71
256
.30
63.4
255
.40
55.7
857
.00
53.3
80.
948
0.84
20.
964
0.95
70.
937
1.00
00.
1539
n/a
0.15
450.
0961
n/a
0.15
290.
625
0.71
90.
622
1.00
00.
719
0.62
92,
491
n/a
1,88
577
n/a
249
0.03
0.35
0.04
1.00
0.35
0.31
10n/
a6
4n/
a6
0.40
0.68
0.67
1.00
0.68
0.67
6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
5a 5b 5c 6a3a 3b 4a 4b
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s, V
ersi
on
1
Land
are
a (k
m2 )
Pop
ulat
ion
Re
f
1 2
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-Urb
an w
here
tota
l pop
ulat
ion
was
use
d.
PU h
as m
arke
ts b
ut is
res
tric
ted
in
com
para
tive
adva
ntag
e fo
r su
pply
(s
ee la
nd p
rodu
ctiv
ity p
oten
tial).
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
m
anua
lly to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
Hal
f Ban
glad
esh
HP
popu
latio
n de
duct
ed to
rem
ove
doub
le
coun
ting
with
LW
.
Hal
f Ban
glad
esh
LW p
opul
atio
n de
duct
ed to
rem
ove
doub
le
coun
ting
with
HP.
Hal
f Nep
al H
S po
pula
tion
dedu
cted
to rem
ove
doub
le
coun
ting
with
FA.
Hal
f Nep
al F
A po
pula
tion
dedu
cted
to rem
ove
doub
le
coun
ting
with
HS.
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-36
A
PP
EN
DIX
4 -
RE
LAT
IVE
SC
OR
ING
OF
PR
OD
UC
TIO
N S
YS
TE
M B
Y E
AC
H C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
ION
A
DJU
ST
ED
PO
PU
LAT
ION
S F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
HP
(2)
HS
SA
(2)
FA
(1)
LW
(2)
PU
695,
117
278,
927
2,24
2,35
338
6,48
018
7,48
30
0.31
0.12
1.00
0.17
0.08
0.00
260,
798,
296
9,58
6,79
440
7,63
2,64
510
,358
,275
49,0
26,9
3942
,846
,239
0.64
0.04
1.00
0.03
0.12
0.11
4.17
1.67
3.50
2.33
4.33
5.00
0.40
1.00
0.48
0.71
0.38
0.33
0.10
0.15
0.03
0.10
0.11
1.00
0.29
0.19
1.00
0.28
0.26
0.03
133.
3396
.67
200.
0016
6.67
83.3
30.
000.
670.
481.
000.
830.
420.
004.
172.
172.
831.
835.
000.
000.
440.
850.
651.
000.
370.
001,
502
1,55
61,
644
2,15
71,
160
1,66
70.
770.
750.
710.
541.
000.
7051
.82
49.9
654
.45
54.3
440
.19
54.6
30.
776
0.80
40.
738
0.74
01.
000
0.73
655
.77
63.4
255
.46
60.2
758
.01
53.3
80.
957
0.84
20.
963
0.88
60.
920
1.00
00.
1539
n/a
0.15
450.
0961
n/a
0.15
290.
625
0.71
90.
622
1.00
00.
719
0.62
92,
889
n/a
3,04
914
8n/
a24
90.
050.
420.
051.
000.
420.
599
n/a
67
n/a
60.
670.
881.
000.
860.
881.
00
Pop
ulat
ion
Land
are
a (k
m2 )
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s, V
ersi
on
2R
ef
1 2
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
3a 3b 4a 4b 5a 5b 5c 6a 6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
m
anua
lly to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
Popu
latio
n ta
ken
as r
ural
exc
ept
for Pe
ri-U
rban
whe
re to
tal
popu
latio
n w
as u
sed.
PU h
as m
arke
ts b
ut is
res
tric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pro
duct
ivity
po
tent
ial).
Hal
f Nep
al F
A po
pula
tion
dedu
cted
to rem
ove
doub
le
coun
ting
with
HS.
Hal
f Ban
glad
esh
HP
popu
latio
n de
duct
ed to
re
mov
e do
uble
cou
ntin
g w
ith
inla
nd fl
oodp
lain
LW
.
Hal
f Nep
al H
S po
pula
tion
dedu
cted
to rem
ove
doub
le
coun
ting
with
FA.
Hal
f of B
angl
ades
h in
land
flo
odpl
ain
popu
latio
n de
duct
ed
to rem
ove
doub
le c
ount
ing
with
H
P.
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-37
A
PP
EN
DIX
4 -
RE
LAT
IVE
SC
OR
ING
OF
PR
OD
UC
TIO
N S
YS
TE
M B
Y E
AC
H C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
ION
A
DJU
ST
ED
PO
PU
LAT
ION
S F
OR
BA
NG
LAD
ES
H (
HP
AN
D L
W)
AN
D N
EP
AL
(HS
AN
D F
A)
HP
(1)
HS
SA
(1)
FA
(1)
LW
(3)
PU
521,
307
278,
927
1,50
5,33
237
4,47
212
4,14
90
0.35
0.19
1.00
0.25
0.08
0.00
170,
737,
361
9,58
6,79
424
9,17
2,03
210
,358
,275
46,7
20,2
3942
,846
,239
0.69
0.04
1.00
0.04
0.19
0.17
4.17
1.67
3.17
1.67
4.00
5.00
0.40
1.00
0.53
1.00
0.42
0.33
0.10
0.15
0.03
0.11
0.14
1.00
0.28
0.18
1.00
0.25
0.20
0.03
133.
3396
.67
183.
3318
3.33
100.
000.
000.
730.
531.
001.
000.
550.
004.
002.
172.
001.
835.
000.
000.
460.
850.
921.
000.
370.
001,
452
1,55
61,
653
2,30
11,
050
1,66
70.
720.
670.
640.
461.
000.
6351
.31
49.9
654
.60
49.7
538
.90
54.6
30.
758
0.77
90.
712
0.78
21.
000
0.71
256
.30
63.4
255
.40
55.7
857
.00
53.3
80.
948
0.84
20.
964
0.95
70.
937
1.00
00.
1539
n/a
0.15
450.
0961
n/a
0.15
290.
625
0.71
90.
622
1.00
00.
719
0.62
92,
491
n/a
1,88
577
n/a
249
0.03
0.35
0.04
1.00
0.35
0.31
10n/
a6
4n/
a6
0.40
0.68
0.67
1.00
0.68
0.67
6b 6c
NR
Res
earc
h S
cien
tists
(19
91)
per
popu
latio
n of
PS
NR
Res
earc
h S
cien
tists
(19
91)
per
1m p
opul
atio
n of
PS
5a 5b 5c 6a3a 3b 4a 4b
NR Knowledge Base (National
data)
% o
f GD
P to
Agr
icul
tura
l Res
earc
h (1
991)
Wei
ghte
d
Poverty status (National data)
Ave
rage
GD
P (U
SD
per
ann
um p
er c
apita
,199
7)
Lite
racy
Rat
e %
(199
7, w
eigh
ted)
Har
vard
Sca
le D
ata
(% c
hild
ren
wei
ght/h
eigh
t)
Market Feasibility
Roa
d D
ensi
ty
Mar
ket D
eman
d A
sses
smen
t
Potential
Ass
essm
ent o
f Exp
ort P
oten
tial
Land
Pro
duct
ivity
Pot
entia
l
Pop
ulat
ion
Ch
arac
teri
sati
on
Cri
teri
aP
rod
uct
ion
Sys
tem
s V
ersi
on
3
Land
are
a (k
m2 )
Re
f
1 2
Char
acte
risat
ion
crite
rion
had
to b
e sc
ored
m
anua
lly to
acco
mm
odat
e th
e av
erag
ed v
alue
s.
Popu
latio
n ta
ken
as r
ural
exc
ept fo
r Pe
ri-Urb
an w
here
tota
l pop
ulat
ion
was
use
d.
PU h
as m
arke
ts b
ut is
res
tric
ted
in c
ompa
rativ
e ad
vant
age
for
supp
ly (
see
land
pro
duct
ivity
po
tent
ial).
Hal
f Ban
glad
esh
inla
nd L
W
popu
latio
n de
duct
ed to
rem
ove
doub
le c
ount
ing
with
HP.
Hal
f Nep
al F
A po
pula
tion
dedu
cted
to rem
ove
doub
le
coun
ting
with
HS.
Hal
f Nep
al H
S po
pula
tion
dedu
cted
to rem
ove
doub
le
coun
ting
with
FA.
Hal
f Ban
glad
esh
HP
popu
latio
n de
duct
ed to
rem
ove
doub
le
coun
ting
with
LW
.
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E IN
LIE
U O
F S
UIT
AB
LE D
AT
A
App-38
A
PP
EN
DIX
4 -
RE
LAT
IVE
SC
OR
ING
W
ITH
AD
JUS
TE
D P
OP
ULA
TIO
NS
FO
R B
AN
GLA
DE
SH
(H
P A
ND
LW
) A
ND
NE
PA
L (H
S A
ND
FA
)
DE
RIV
ED
WE
IGH
TE
D S
CO
RE
S B
Y P
RO
DU
CT
ION
SY
ST
EM
AN
D C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
IA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
re
lativ
e s
core
, m
ea
n r
ela
tive
sco
re a
nd
we
igh
ted
me
an
re
lativ
e s
core
(u
sin
g S
cen
ari
o 1
we
igh
ts*)
fo
r e
ach
ch
ara
cte
risa
tion
cr
iteri
on
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )0
.35
0.3
50
.00
0.1
90
.19
0.0
01
.00
1.0
00
.01
0.2
50
.25
0.0
00
.10
0.1
00
.00
0.0
00
.00
0.0
00
.01
0.0
10
.01
0.0
10
.01
2.
Po
pu
latio
n0
.69
0.6
90
.27
0.0
40
.04
0.0
21
.00
1.0
00
.39
0.0
30
.03
0.0
10
.16
0.1
60
.06
0.1
70
.17
0.0
70
.39
0.3
90
.39
0.3
90
.39
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
0
.40
1.0
00
.53
1.0
00
.42
0.3
33
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t0
.28
0.1
81
.00
0.2
50
.13
0.0
34
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
0.7
30
.53
1.0
01
.00
0.4
40
.00
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
0.4
60
.85
0.9
21
.00
0.4
10
.00
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)0
.72
0.6
70
.64
0.4
61
.00
0.6
35b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
0.7
60
.78
0.7
10
.78
1.0
00
.71
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
0.9
50
.84
0.9
60
.96
0.9
41
.00
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
0.6
20
.72
0.6
21
.00
0.7
20
.63
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S0
.03
0.3
50
.04
1.0
00
.35
0.3
16
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S0
.40
0.6
80
.67
1.0
00
.68
0.6
71
.01
.01
.01
.01
.0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(1)
0.5
8H
S0
.41
SA
(1)
0.8
4F
A(2
)0
.52
LW
(1)
0.4
0P
U0
.29
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(1)
0.5
5H
S0
.40
SA
(1)
0.8
5F
A(2
)0
.47
LW
(1)
0.3
4P
U0
.25
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(1)
0.6
0H
S0
.42
SA
(1)
0.8
9F
A(2
)0
.55
LW
(1)
0.3
7P
U0
.22
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(1)
0.6
4H
S0
.43
SA
(1)
0.8
5F
A(2
)0
.50
LW
(1)
0.4
8P
U0
.37
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(1)
0.5
5H
S0
.40
SA
(1)
0.7
8F
A(2
)0
.55
LW
(1)
0.4
1P
U0
.32
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 1
FA
(2)
LW
(1)
Wei
gh
tin
g S
cen
ario
s
Scenario 2 Weights
PU
Scenario 1 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
0.1
5
0.1
2
0.0
9
0.5
80
.09
0.9
60
.14
0.7
7
0.1
5
0.1
5
0.0
50
.11
HP
(1)
HS
SA
(1)
0.0
5
0.3
4
0.3
5
0.7
6
0.4
4
0.1
0
0.7
70
.11
0.8
1
0.5
9
0.0
7
0.7
3
1.0
0
0.6
2
1.0
0
0.1
5
0.9
8
0.0
9
0.1
5
0.5
8
0.7
8
0.2
70
.04
0.4
20
.06
0.0
0
0.1
8
0.0
90
.53
0.0
8
0.5
90
.09
0.0
0
0.1
50
.11
0.1
2
0.6
9
0.1
2
0.0
30
.1
0.1
0.3
0.1
0.1
0.3
0.1
0.1
5
TO
TA
L W
EIG
HT
ED
RE
LA
TIV
E S
CO
RE
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 1
0.1
0.1
0.1
0.1
0.1
0.3
0.1
0.1
0.3
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E I
N L
IEU
OF
SU
ITA
BLE
DA
TA
App-39
A
PP
EN
DIX
4 -
RE
LAT
IVE
SC
OR
ING
W
ITH
AD
JUS
TE
D P
OP
ULA
TIO
NS
FO
R B
AN
GLA
DE
SH
(H
P A
ND
LW
) A
ND
NE
PA
L (H
S A
ND
FA
)
DE
RIV
ED
WE
IGH
TE
D S
CO
RE
S B
Y P
RO
DU
CT
ION
SY
ST
EM
AN
D C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
IA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
re
lativ
e s
core
, m
ea
n r
ela
tive
sco
re a
nd
we
igh
ted
me
an
re
lativ
e s
core
(u
sin
g S
cen
ari
o 1
we
igh
ts*)
fo
r e
ach
ch
ara
cte
risa
tion
cr
iteri
on
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )0
.31
0.3
10
.00
0.1
20
.12
0.0
01
.00
1.0
00
.01
0.1
70
.17
0.0
00
.08
0.0
80
.00
0.0
00
.00
0.0
00
.01
0.0
10
.01
0.0
10
.01
2.
Po
pu
latio
n0
.64
0.6
40
.25
0.0
40
.04
0.0
21
.00
1.0
00
.39
0.0
30
.03
0.0
10
.12
0.1
20
.05
0.1
10
.11
0.0
40
.39
0.3
90
.39
0.3
90
.39
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
0
.40
1.0
00
.48
0.7
10
.38
0.3
33
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t0
.29
0.1
91
.00
0.2
80
.26
0.0
34
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
0.6
70
.48
1.0
00
.83
0.4
20
.00
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
0.4
40
.85
0.6
51
.00
0.3
70
.00
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)0
.77
0.7
50
.71
0.5
41
.00
0.7
05b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
0.7
80
.80
0.7
40
.74
1.0
00
.74
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
0.9
60
.84
0.9
60
.89
0.9
21
.00
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
0.6
20
.72
0.6
21
.00
0.7
20
.63
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S0
.05
0.4
20
.05
1.0
00
.42
0.5
96
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S0
.67
0.8
81
.00
0.8
60
.88
1.0
01
.01
.01
.01
.01
.0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(2)
0.5
8H
S0
.43
SA
(2)
0.8
4F
A(1
)0
.48
LW
(2)
0.4
0P
U0
.30
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(2)
0.4
7H
S0
.34
SA
(2)
0.7
7F
A(1
)0
.36
LW
(2)
0.2
7P
U0
.18
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(2)
0.5
8H
S0
.42
SA
(2)
0.8
6F
A(1
)0
.50
LW
(2)
0.3
6P
U0
.21
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(2)
0.6
4H
S0
.45
SA
(2)
0.8
5F
A(1
)0
.46
LW
(2)
0.4
8P
U0
.38
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(2)
0.5
6H
S0
.42
SA
(2)
0.8
0F
A(1
)0
.51
LW
(2)
0.4
2P
U0
.36
TO
TA
L W
EIG
HT
ED
RE
LA
TIV
E S
CO
RE
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 2
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
LW
(2)
PU
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 2
HP
(2)
HS
SA
(2)
FA
(1)
0.3
20
.74
0.1
10
.50
0.0
70
.34
0.0
50
.60
0.0
90
.05
0.1
80
.03
0.1
50
.30
.10
.10
.1
0.5
50
.08
0.6
60
.10
0.8
20
.12
0.9
20
.14
0.3
90
.06
0.0
00
.00
0.1
50
.10
.30
.10
.1
0.8
40
.13
0.8
00
.12
0.8
00
.12
0.7
20
.11
0.9
70
.15
0.8
10
.12
0.1
5
0.4
50
.07
0.6
70
.10
0.5
60
.08
0.9
50
.14
0.6
70
.10
0.7
40
.11
0.3
0.1
50
.10
.10
.1
0.1
0.1
0.3
0.1
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E I
N L
IEU
OF
SU
ITA
BLE
DA
TA
App-40
A
PP
EN
DIX
4 -
RE
LAT
IVE
SC
OR
ING
W
ITH
AD
JUS
TE
D P
OP
ULA
TIO
NS
FO
R B
AN
GLA
DE
SH
(H
P A
ND
LW
) A
ND
NE
PA
L (H
S A
ND
FA
)
DE
RIV
ED
WE
IGH
TE
D S
CO
RE
S B
Y P
RO
DU
CT
ION
SY
ST
EM
AN
D C
HA
RA
CT
ER
ISA
TIO
N C
RIT
ER
IA
Fo
r e
ach
PS
, co
lum
ns
to t
he
rig
ht
spe
cify
re
lativ
e s
core
, m
ea
n r
ela
tive
sco
re a
nd
we
igh
ted
me
an
re
lativ
e s
core
(u
sin
g S
cen
ari
o 1
we
igh
ts*)
fo
r e
ach
ch
ara
cte
risa
tion
cr
iteri
on
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
Score
Mean
Weighted Mean
CH
AR
AC
TE
RIS
AT
ION
CR
ITE
RIA
1. L
and
area
(km
2 )0
.35
0.3
50
.00
0.1
90
.19
0.0
01
.00
1.0
00
.01
0.2
50
.25
0.0
00
.08
0.0
80
.00
0.0
00
.00
0.0
00
.01
0.0
10
.01
0.0
10
.01
2.
Po
pu
latio
n0
.69
0.6
90
.27
0.0
40
.04
0.0
21
.00
1.0
00
.39
0.0
40
.04
0.0
20
.19
0.1
90
.07
0.1
70
.17
0.0
70
.39
0.3
90
.39
0.3
90
.39
3.
Ma
rke
ting
fe
asi
bili
ty:
3a
. R
oa
d d
en
sity
0
.40
1.0
00
.53
1.0
00
.42
0.3
33
b.
Ma
rke
t d
em
an
d a
sse
ssm
en
t0
.28
0.1
81
.00
0.2
50
.20
0.0
34
. P
ote
ntia
l:4
a.
Ass
ess
me
nt
of
exp
ort
po
ten
tial
0.7
30
.53
1.0
01
.00
0.5
50
.00
4b
. L
an
d p
rod
uct
ivity
po
ten
tial
0.4
60
.85
0.9
21
.00
0.3
70
.00
5.
Po
vert
y st
atu
s (N
atio
na
l d
ata
):5a
. A
vera
ge G
DP
(U
SD
per
ann
um p
er c
apita
,199
7)0
.72
0.6
70
.64
0.4
61
.00
0.6
35b
. Li
tera
cy r
ate
% (
1997
, w
eigh
ted)
0.7
60
.78
0.7
10
.78
1.0
00
.71
5c.
Ha
rva
rd s
cale
da
ta (
% c
hild
ren
we
igh
t/h
eig
ht)
0.9
50
.84
0.9
60
.96
0.9
41
.00
6.
NR
kn
ow
led
ge
ba
se (
Na
tion
al
da
ta):
6a.
% o
f G
DP
to
Agr
icul
tura
l R
esea
rch
(199
1) W
eigh
ted
0.6
20
.72
0.6
21
.00
0.7
20
.63
6b
. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
po
pu
latio
n o
f P
S0
.03
0.3
50
.04
1.0
00
.35
0.3
16
c. N
R R
ese
arc
h S
cie
ntis
ts (
19
91
) p
er
1m
po
pu
latio
n o
f P
S0
.40
0.6
80
.67
1.0
00
.68
0.6
71
.01
.01
.01
.01
.0S
CE
NA
RIO
S F
OR
CR
ITE
RIA
WE
IGH
TIN
GS
Sce
nar
io 1
- E
qu
al w
eig
hti
ng
on
3-6
HP
(1)
0.5
8H
S0
.41
SA
(1)
0.8
4F
A(1
)0
.52
LW
(3)
0.4
2P
U0
.29
Sce
nar
io 2
- In
crea
sed
wei
gh
tin
g o
n 3
HP
(1)
0.5
5H
S0
.40
SA
(1)
0.8
5F
A(1
)0
.48
LW
(3)
0.3
7P
U0
.25
Sce
nar
io 3
- In
crea
sed
wei
gh
tin
g o
n 4
HP
(1)
0.6
0H
S0
.42
SA
(1)
0.8
9F
A(1
)0
.55
LW
(3)
0.4
0P
U0
.22
Sce
nar
io 4
- In
crea
sed
wei
gh
tin
g o
n 5
HP
(1)
0.6
4H
S0
.43
SA
(1)
0.8
5F
A(1
)0
.50
LW
(3)
0.5
0P
U0
.37
Sce
nar
io 5
- In
crea
sed
wei
gh
tin
g o
n 6
HP
(1)
0.5
5H
S0
.40
SA
(1)
0.7
8F
A(1
)0
.55
LW
(3)
0.4
2P
U0
.32
* /
Sce
na
rio
1 i
s u
sed
as
an
exa
mp
le s
ho
win
g h
ow
th
e v
alu
es
for
the
to
tal
we
igh
ted
sco
res
of
ea
ch s
cen
ari
o w
ere
ge
ne
rate
d.
0.3
0.1
50
.10
.10
.10
.58
0.0
90
.53
0.0
80
.44
0.0
71
.00
0.1
50
.35
0.0
50
.58
0.0
9
0.1
0.1
0.3
0.1
0.1
50
.78
0.1
20
.15
0.1
0.8
10
.12
0.7
70
.11
0.7
70
.12
0.7
30
.11
0.9
8
0.1
50
.10
.30
.10
.46
0.0
70
.00
0.0
0
0.1
0.1
0.5
90
.09
0.6
90
.10
0.9
60
.14
1.0
00
.15
0.5
90
.09
0.3
0.1
Wei
gh
tin
g S
cen
ario
s
Scenario 1 Weights
Scenario 2 Weights
0.3
1
LW
(3)
PU
0.0
50
.18
0.0
30
.15
Pro
du
ctio
n S
yste
ms,
Ver
sio
n 3
HP
(1)
HS
SA
(1)
FA
(1)
Scenario 3 Weights
Scenario 4 Weights
Scenario 5 Weights
TO
TA
L W
EIG
HT
ED
RE
LA
TIV
E S
CO
RE
(A
LL
CR
ITE
RIA
) B
Y P
RO
DU
CT
ION
SY
ST
EM
S, V
ER
SIO
N 3
0.7
60
.11
0.6
20
.09
0.3
40
.05
FR
AC
TIO
NA
L S
CO
RE
S R
ELA
TIV
E T
O G
RE
AT
ES
T N
EE
DS
HA
DE
D C
ELL
S =
AV
ER
AG
E I
N L
IEU
OF
SU
ITA
BLE
DA
TA
App-41
The Natural Resources Systems Programme (NRSP), of the UKDepartment for International Development, undertakes research on theintegrated management of natural resources. This encompasses thesocial, economic, institutional and biophysical factors that influencepeople’s ability to both use and maintain the productive potential of thenatural resource (NR) base over a relatively long timeframe. Theintended outcome of the research is that NR-related strategies forimproving people’s livelihoods, that are of proven relevance to poorpeople, will be delivered in forms that could be taken up by the poorthemselves and/or by development practitioners operating at a range oflevel’s, from grassroots to senior policy level.
HTS Development Limited Thamesfield House
Boundary Way Hemel Hempstead
HP2 7SR Tel: +44 (0)1442 214369
Email: [email protected] Website: www.nrsp.co.uk
Marine Resources Assessment Group Ltd47 Prince’s Gate
LondonSW7 2QA
Development Planning UnitThe Barlett
University College London9 Endsleigh Gardens
LondonWC1H 0ED
