Development Draft
Development Draft
The Road to the Rostow Cup is just like a fantasy sports league, but instead of drafting players thatwill
score points based on athletic performance, you will be drafting countries that will score points based
on their level of development. Below is a sample of how this will look and how the scoring is based.
Scoring:
L--* For categories GDP-Literacy Rate, you want the higher number, for categories IMR-TFR you want the
lower number. For each category that you beat your opposing country position, you earn a point. The
above line-ups from above are displayed below with the scoring categories for each team being
highlighted in bold font.
Cou ntry GDP GDP per Life Literacy IMR NlR TFR
Capita Expectancv Rate
Leniral Korea 55 / brllron SzT,ooo 74.5 98.7% I 1.2 2.1
:::::i::a*;::i:
_: l-.:t
!t0l rnok .atl ;t..,i. .,i::,:'
11.5" 36.927 1
S21 Eelgium 0.8s0 80.4 16.3 |t.3d 41,187 0
#22 France 0.888 82.2 16.0 11 .1 38,056 4
'\\ -sl-omrn
.. , ,, \q0 Bilssian Federaiion 0.798 70.1 14.1 12.0 22352 -1
o.rs3 76.8 r3.ii 8.0 34.858
a
dS2 Rornania 0.793 14.1 11.2 10.8 18,108 t0
52 Uruouay 0.793 11.2 r5.5 8.5 1 9,283
'" 55 Brhamas 0.790 12.6' 10.9 21,336 -3
56 Kaiakhsran 0.788 69.4 15.0 t't .4
N
?0.861 -1
57 Barbados 0.785 75,6 15.4 10.5{ 1 2.488 2l
58 Antigua and Barbuda 'n.783 14.0 g.?,
76.1 20.070 -1
v
r 59 Uulgafla 0.182 14.2 14.4 r0.6n 1 5,596 13
60 Palau 0.780 12.1\ 13.7 12.3' 1 3.496 18
60 Panama 0.780 71.6 9.3 1 8,1 32 1
IF
Hl.J[.iAN DEVEiOP!iENT PEP0ET 2o'l 5
Work for Hunan Developntent
flnuian Bcv.lopmrnt Lilo cxpcc!ancY Expecl,jd Vrars Cross ririi0oal ircoil!r) eill pur capiiir rrrit
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r''\ 77 Saint Kitts aild Nevis 0.752 73.9 i 12.9 8.1 ', 20,805 -21
r\\ p78 Azerbaijan 0.751 70.8 t1.s 11.21 1 6,428 -11
. 79 GrenarJa 0.750 73.4 15.8 8.6', 10,939 14
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TABLE 1 HUMAN DEVELOPMENT INDEX AidD ITS CCINPONENTS
iiun:;r 0tv:lo9nr:rr
iniex iH0ll
i,0l rlnk
124 Gs/ana 0.636 66.4 10.3 ::. : :--
1 25 Nicaragua 0.631 14.9 11.5i 5a' : l:-
126 [4orocco 0.628 14.0 1 1.6
126 Narnibia!p 0.628 64.8 11.3 a.:,
.::.:
7
1 28 6uaterniila 0.627 71.8 I0.7 :b
123 Tajikistan 0.824 69.4 11.2 r 0.1\ .: -
130 lrrdia 0.609 6tt.0 .7 |
11 5.4
131 Honduras 0.606 73.1 11.1 5.5 , ':r.
132 Bhrrtan 0.6u5 69.5 12.6 c
il.0
133 TiilroFLeste 0.595 6E.2 11.1 ciFi-
4.4\
134 Syrian Arab Republic 0.594 69.6 12.3 6.3.
134 Vanuatu 0.594 11.8 10.6 |
6.8,,i 2.843
136 Consq# 0.5s1 62.3 t.l b
1 6.1 6.012 -14
137 Kiribati 0.590 66.0 1 t1t
7.8, 21
133 Erluatuial Guineai'F 0.5s7 57.6 9.0 r
5.51 -44
rJY larn0ta r ' 0.586 60.1 13.5 6.6. 3,734
ra0
I 41
Ghana
fu
Lao People's Dem0craric Bepublic
0.579
0.575
61.4 11.5 7.0 3,852 -1
66.2 10.6 5.0, 4.680 -s
142 Bangladesh 0.570 71.6 10.0 5.1. 3,191 5
143 Canrbodia 0.555 68.4 !
r 0.9 4.4
143 Sao Tome and Prin6ipe :|!1 0.55b 66.5 1 1.3 4.7 \
1
8
LOW HUMAN DEVETOPNTENT
--tas Kenya
fl 0.548 61.6 1 t.0 oJ t.tol
a i l -,145 Nepal 0.543 69.6 12.4 3.3. 2,3r1
, )t' t4l
pakisran
0.538 66.2 7.8 1. t- 4.865 *14
148 fulyanmar 0.536 65.9 8.6 .1.t' .1.601-1.
-12
149 Angola ff: 0.532 52.3 11.4 4.,. \ 6,822 -30
tS} Swazttait| fi7 r 0.5s1 49.0 11.3 7.1 r'
:.541 *75
15'l Teozania iutired Bgpubticol}'yrl_*___ ,_0S21*-..- ., - _ _...-65.0 . --s.2 ' ' 5.1', 2,411 8
152 Nigeria . ' 0.51 4 52.8 9.0 r
5.SY 5.34 I
153 Canreroon 0.51 2
.10.4
E.0e 2,803 -1
151 lvladagascar 0.510 65.1 10.3 6.0! 1.328 24
155 Zirnbal.rwe 0.509 57.5 l0.s 7.3. 1,615 13
156 I,/auritania 0.506 63.1 8.5 3.560 -11
156 Solomon lslands 0.506 67.9 9.2 5.0
i
1,540 16
158 Papua l'lev",Guinea 0.505 62.6 9.9, 4.0.
-1
:.
I59 Comoros ':, 0.503 63.3 11.5 1.6 v
I .456 t6
i60 Yemen 0.4s8 oJ6 9.2 2.6. 3,51 I
I 61 Lesotlro 0.497 49.8 1 1.1 3,305 -16
162 Togo 0.184 59.7 12.2 4.5, t,228 11
163 Haiti 0.483 62.8 87' 4.9r 1.669 4
103 Blvanda .
0.183 64.2 10.3 1.458 i'l
163 Ugarrda 0.183 58.5 9.8 1,613 6
165 Benirt 0.480 59.0 1 1.1 i 1e
1,i61 0
167 Sudan 0.479 bJ.5 1.0 3.1r' 3.809 -?7
168 Dliboutj 0.470 62.0 o.q 3 8'r 3.276'
169 South Sudan u.qbt 55.7 7.6, 2,332 -9
170 Sentgal i 0.466 66.5 7.9 7.5 2,188 *8
171 Afghanistan 0_465 60.4 9.3 3.2" 1 885
-1
172 Cdted'lvoire ,'- 0.402 |
8.9 4.3 3,171
173 N,lalalui ,
-24
0.445 62.8 10.8 4.3 " 141 l3
I 74 Etiriopia 0.447 64. l 8.5 ll?a
2.4
175 Eamhia 0.441 60.2 8.8 2.9" 1,507 *2
1 76 Congo {Dsrnocralic EepuLrftc of thel 0.{33 sri.7 9.8 6.u 690 11
177 Liheria 0.130 60.9 ocl 4.1. 805 7
I 78 Guinea-Bissau 0.428 9.0 2.8, 1.362
179 Mali 0.4r9 58.D 8.4 2.0
180 Mozambique -E
0.416 55.1 oa 111 1.123 l
18.] SiDra Leone 0.4r3 |
50.9 8.6 3.1 c 1.180
182 Guinea -15
0.411 2.41 1 .0!6 0
183 Burkina Faso 0.402 58.7 '1.4r
I,591 -13
184 Burundi 0.400 56.7 7aa
1 0.1
1
135 Chad 0.392 51.6 '1
? naq
1.4 .S *?2
Hrrran !evelepneot Lil! oxlecirncy Expect*d ycars Caqsr !:0iiqnal ir,sor:ta Clil ir,:r clp,i: r',,:
hdcx {H0li at biill of scirooling ol.chooliD! i6i.,lll lrr.,irxira niuus H0l rarl
ISS Eritrea
i8l
l',..
Central Alrican Republic
0.39r
0.350
63.7 qt 3.9
a.2l
' t. i30 {
50.7 i.2 581 1
ilJl.t Nioer iy--./
orHan couiiiiulr-ffiEnR'rr0ulES
"-*** 9.: tP_-. - _ * - _.. _.. _- "...
*-9":.!.. _ 5.,i
1,5' . 9:! ......... -5
Begions
Arab Slates 0.486 70.6 -15,122
12.0 c4
Eost Asia and rhe Pacific 0.710 74.0 12.1 7.5 i1 ,449
Europe and Central Asia 0.718 11 7
13.6 10.0 i2,j91
lalin Arnerica and the Caribbean 0.148 75.0 14.0 a) i4,242
South Asia 0.607 68.4 11.2 5.5 5.6ij5
Sub-Saharan Africa 0.518 58.5
Least developed counlries 0.502 63.3
s.6
--;i 5.2
" ilqi"
Small island developing states 0.660 7t.1 'l
1.4 7.9 6,!r31
0rganisation lor Econonric
Co-operation and Development 0.880 80.2 15.8 I 1.5 J/,bJ5
World 0.711 71.5 12.2 14,301
NOTES o Basod 0n (lala fror [iNISCO lnstinrre lor 2 Uuiated i)y HDB(] irascd orr rlara fronr IjNESCC older, corircileij lrom edufitr00 aitainmeni le,.,els
a Data refer to:011 or the most reccnl lear Statistics {201 1). lnstitute for Slarisrics {20 I 5j. an ICF i*1arro using ofIcial durations ol each level
available. p Based on data 0n school Iite expectancy from Demograph;[ and Health Surve,., an,.i 8a.;o.rnrj
b Based on Bano and Lee {2013b}. UNESl]0 lnslilute tor Sraristics (2013). Lee (20141. Gross nalional income {GNl) per capita:
Aggregate income ol an ecoflomy qenaraled by
c F0r the purpose 0l cal.ulating the HDI vaiue. q Based on dala lrom Uniled Nations Childrcni aa updated by H0F0 based 0n data kom a UNICEF
ils productron and tl( oj;ne,ship 0l lailors 0i
erpected \ars 0f sch00linq is capped at 18 Fund {UNICEF} Mulriple lndicalor Clusler SuNevs Multiple lndicalor Clusler SurueV
prcducii0n, less the inlcmes Daid for lhe use ol
Years. lor 2005-2014. ab 6ased on data kJm llmorLestg Vinisi|i 0i iact0rs 0i 0rcduclicn owned by lhe rest 0l the vj0rld,
d Updared by l.l0R0 based on data korr UNESCo r Based on cross-country regressi0n. Finance [2015].
c0nverted to intern6tional collers using FPp rates,
lnstirute for Statistirs i2015) and Batr0 and lee s The 2013 HOl value publishd in lhe 2014 ,*nrrD diliced b,/ ntidvear population
{20r4}. Developnent Reportwas bJsed 0n miscalculated
IiEFINITIONS
e Based ofl Batro arC lee {201 4i. I PPP i0ll3rs, as published
GNI psr capira in 201 Hunran Devel0pnlent lndex (H0l): A;0mp0srte i$All{ DAiA SOuitcLs
, Based oil dala hon the national statistical cftice
irr tlre \ryorld Bafik {201 41. A more realislic index rneasurinq average aclrievern8nt ir ihree llasic Colulnn t: H0ll0 calculaiiurs lDsed or data frorn
value, based 6n the model developed by HDF0
g tor the purpose of calculaiing the H0l valuE. Gl,ll dimensions of lrurnarr de'/cl0pnient-a l0na and UN0ESA i?015) UfIESC[r Iilstrldt: t0r Stilrstts
and verified ard arcepted by Cubai I,Jational
per capita is capped at S75.000. healthy life. krowledge aild a dsce[t srarCa(l oi
i201 5). Uniied Nairons Statisrrcs 0i'.,isrcn iZtJl bl,
Staiistics 0illce. is S7.222. The cotresp0nding living. See lechnrizi note , ar hrlp:./,rhdrundD.or0/en
h Value from IIIJDESA {201 tl. 2013 HDI !,alue is 0.759 and lhe rank is 6gth
lVorld Bank (20i5a1. Ea(o ard ler iZ0i.1l and ltvlF
for delails 0n how ihe HDI is calcularcd
i CalculateC as the ,verage of mean years ol t Based 0n a cross-country reoressi0n model and
i20r5)
schooling lor Austria and Switzerland. projected gror,rth rares lronr ECTAC {2014}. Life expectancy at binh: Nurniler of years n Column 2: Ui!DESA i20t5l.
nevlborn infanl could expect Io live if prevailing
i Estiuated using the purchasing pontr pariry {pppl u H0B0 calcularions based 0n data lrom Natioral
patlerns 0, age-specilic 0unalitv rates at the time of Column 3: Ui\jESC0 lnstitule l0r Statisrics
rate and proiected qrou/th rate 0f Swiuerland. 12015).
lnstitute for Educational Studies 0f Bra?it {20131.
binh stay tha same throughout the i0lantt life.
k HDR0 esrinrate based 0n data from lvorld Bank v Updated by H0B0 based on dara lrom UllESC0 Column 4: Ui!ESC0 tnsrirure loi Slalisrics i20t S).
{2015a1 and United Natioos Staristics 0i!isi0n lnstitule lo, Srarisrics [?0]5) and a UNICEF Expected years of schooling: Nurnber ot years Bar0 and lee l20l 11. Ul,l|CEF t"lutliple lndical0r
l20r sl. l\,4ultiple lndicalor Cluster Survey. oFsclr0oling thal 3 child 0f scltool entrance age Cluster SuNeys afld ICF L,{au0 0enr00raphic and
I Updaled by HDBo based on data frorn UNESC0 w Sased 0n data on school lile expectancl f,onl
can expecl lo teceive if prevatling pailerns 0i Heahh Surveys.
lnstitute for Statistics {2015}. age-speciiic enrolmenl rales persist lhrouQh0ut lhe
UliESC0 lnsliture lar Slarisrics 120121. Colurnn 5: \.1orld Barrk {2015i). tN,1F l20tSj aId
childs lile.
m Assumes the saote aduli n)ean years 0l schooling x gased 0n projecled groMh rates kom IJNESCWA [Jnited Nati0iri Sriitisrics Divisiorr i20t 5].
as Spain. i2014). Mean years o( schooling: Average rulrler ci
Colurnn 6: llalculrte{l ilaseri oir rlata rn colunrls
n Eslimated using the PPP rale and projecied y Sased on data hoflt lCf N,lasro 0emogrrphic and
years of edu0ation ,eceived lly peoplc a0ds 25 and
I anJ 5.
qrovlll) rate oi Soain. Health Survevs for 2005-201 4.
Below is the sheet that you will use and fill-in during the draft. only one per group needs to be filled
out. Duringthe draft, please payattentiontowhich countries have been picked and crossthem off on
the previous list as they are selected. Don't be that person that says that they'll pick Finland in the 6th
round when it was taken several rounds earlier.
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