World Development Indicators(Source:The World Bank Group)

Arms imports (SIPRI trend indicator values):MS.MIL.MPRT.KD

	Country Name	Country Code	2016
1	World	WLD	30,967,000,000
2	IDA & IBRD total	IBT	18,343,000,000
3	Low & middle income	LMY	18,072,000,000
4	Middle income	MIC	17,719,000,000
5	IBRD only	IBD	14,847,000,000
6	Early-demographic dividend	EAR	14,827,000,000
7	Middle East & North Africa	MEA	13,384,000,000
8	High income	HIC	12,895,000,000
9	Arab World	ARB	12,496,000,000
10	Upper middle income	UMC	9,573,000,000

Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equipment such as small arms and light weapons, trucks, small artillery, ammunition, support equipment, technology transfers, and other services.

Bank capital to assets ratio (%):FB.BNK.CAPA.ZS

	Country Name	Country Code	2016
1	Maldives	MDV	20.95551
2	Serbia	SRB	20.7
3	Tonga	TON	18.79328
4	Samoa	WSM	16.19959
5	Colombia	COL	16.0815
6	Armenia	ARM	15.67457
7	Bhutan	BTN	15.3172
8	Bosnia and Herzegovina	BIH	14.69929
9	Rwanda	RWA	14.67534
10	Indonesia	IDN	14.67462

Bank capital to assets is the ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 capital (paid-up shares and common stock), which is a common feature in all countries’ banking systems, and total regulatory capital, which includes several specified types of subordinated debt instruments that need not be repaid if the funds are required to maintain minimum capital levels (these comprise tier 2 and tier 3 capital). Total assets include all nonfinancial and financial assets.

Bank nonperforming loans to total gross loans (%):FB.AST.NPER.ZS

	Country Name	Country Code	2016
1	Cyprus	CYP	46.95193
2	San Marino	SMR	44.21174
3	Greece	GRC	36.9948
4	Sierra Leone	SLE	30.67
5	Ukraine	UKR	30.37284
6	Serbia	SRB	20.92
7	Albania	ALB	20
8	Ghana	GHA	18.77051
9	Burundi	BDI	18.53744
10	Croatia	HRV	15.89708

Bank nonperforming loans to total gross loans are the value of nonperforming loans divided by the total value of the loan portfolio (including nonperforming loans before the deduction of specific loan-loss provisions). The loan amount recorded as nonperforming should be the gross value of the loan as recorded on the balance sheet, not just the amount that is overdue.

Bird species, threatened:EN.BIR.THRD.NO

	Country Name	Country Code	2016
1	World	WLD	4,393
2	IDA & IBRD total	IBT	3,345
3	Low & middle income	LMY	3,309
4	Middle income	MIC	2,710
5	IBRD only	IBD	1,966
6	Early-demographic dividend	EAR	1,640
7	Upper middle income	UMC	1,511
8	IDA total	IDA	1,379
9	Late-demographic dividend	LTE	1,199
10	Lower middle income	LMC	1,199

Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.

Broad money (current LCU):FM.LBL.BMNY.CN

	Country Name	Country Code	2016
1	Indonesia	IDN	5,003,254,966,592,600
2	China	CHN	155,006,666,873,100
3	Paraguay	PRY	82,775,223,819,035
4	Cambodia	KHM	58,633,991,798,036
5	Hungary	HUN	20,872,693,300,000
6	Nigeria	NGA	20,623,797,949,538
7	Kazakhstan	KAZ	19,912,578,349,284
8	Uganda	UGA	18,971,870,846,669
9	Thailand	THA	18,287,713,553,087
10	Pakistan	PAK	16,620,731,499,339

Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.

Broad money growth (annual %):FM.LBL.BMNY.ZG

	Country Name	Country Code	2016
1	South Sudan	SSD	142.70094
2	Suriname	SUR	52.20755
3	Argentina	ARG	41.55144
4	Madagascar	MDG	20.34525
5	Georgia	GEO	20.24352
6	Mongolia	MNG	20.16145
7	Cambodia	KHM	19.42463
8	Guyana	GUY	18.5896
9	Turkey	TUR	17.66239
10	Ecuador	ECU	17.53544

Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s checks; and other securities such as certificates of deposit and commercial paper.

Business extent of disclosure index (0=less disclosure to 10=more disclosure):IC.BUS.DISC.XQ

	Country Name	Country Code	2016
1	Azerbaijan	AZE	10
2	Bulgaria	BGR	10
3	China	CHN	10
4	Hong Kong SAR, China	HKG	10
5	Indonesia	IDN	10
6	Kazakhstan	KAZ	10
7	Malaysia	MYS	10
8	New Zealand	NZL	10
9	Singapore	SGP	10
10	Thailand	THA	10

Disclosure index measures the extent to which investors are protected through disclosure of ownership and financial information. The index ranges from 0 to 10, with higher values indicating more disclosure.

Claims on central government (annual growth as % of broad money):FM.AST.CGOV.ZG.M3

	Country Name	Country Code	2016
1	Argentina	ARG	25.51462
2	Lesotho	LSO	21.59732
3	Moldova	MDA	19.60987
4	South Sudan	SSD	16.40551
5	Ukraine	UKR	16.19808
6	Algeria	DZA	15.83095
7	Saudi Arabia	SAU	15.39367
8	Qatar	QAT	12.43919
9	Brazil	BRA	12.27904
10	Mongolia	MNG	12.03548

Claims on central government (IFS line 32AN..ZK) include loans to central government institutions net of deposits.

Claims on other sectors of the domestic economy (annual growth as % of broad money):FM.AST.DOMO.ZG.M3

	Country Name	Country Code	2016
1	Georgia	GEO	26.48455
2	Nepal	NPL	22.11389
3	Cambodia	KHM	20.87431
4	Turkey	TUR	20.84393
5	Nigeria	NGA	18.61737
6	Suriname	SUR	16.99029
7	Nicaragua	NIC	15.98118
8	Mali	MLI	14.34434
9	Sweden	SWE	14.04243
10	Costa Rica	CRI	13.67581

Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds.

Claims on private sector (annual growth as % of broad money):FM.AST.PRVT.ZG.M3

	Country Name	Country Code	2016
1	Georgia	GEO	26.49128
2	Nepal	NPL	21.12805
3	Cambodia	KHM	20.89855
4	Turkey	TUR	19.7195
5	Nicaragua	NIC	15.34272
6	Argentina	ARG	15.16899
7	Suriname	SUR	15.0259
8	Costa Rica	CRI	14.79557
9	Mali	MLI	13.98779
10	Nigeria	NGA	13.66576

Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere.

Consumer price index (2010 = 100):FP.CPI.TOTL

	Country Name	Country Code	2016
1	South Sudan	SSD	1,592.3846
2	Iran, Islamic Rep.	IRN	309.649
3	Ethiopia	ETH	224.2703
4	Angola	AGO	216.9943
5	Suriname	SUR	216.4723
6	Ghana	GHA	210.5338
7	Ukraine	UKR	205.7323
8	Guinea	GIN	200.7307
9	Nigeria	NGA	183.8926
10	Egypt, Arab Rep.	EGY	178.4594

Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. Data are period averages.

Cost of business start-up procedures (% of GNI per capita):IC.REG.COST.PC.ZS

	Country Name	Country Code	2016
1	South Sudan	SSD	422.5
2	Haiti	HTI	219.3
3	Central African Republic	CAF	209.4
4	Somalia	SOM	176.5
5	Djibouti	DJI	167
6	Chad	TCD	159.8
7	Micronesia, Fed. Sts.	FSM	140.4
8	Venezuela, RB	VEN	136.4
9	Gambia, The	GMB	125.2
10	Zimbabwe	ZWE	119.2

Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.

Cost of business start-up procedures, female (% of GNI per capita):IC.REG.COST.PC.FE.ZS

	Country Name	Country Code	2016
1	South Sudan	SSD	422.4
2	Haiti	HTI	219.3
3	Central African Republic	CAF	209.4
4	Somalia	SOM	176.5
5	Djibouti	DJI	167
6	Chad	TCD	159.8
7	Micronesia, Fed. Sts.	FSM	140.4
8	Venezuela, RB	VEN	136.4
9	Gambia, The	GMB	125.2
10	Zimbabwe	ZWE	119.2

Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.

Cost of business start-up procedures, male (% of GNI per capita):IC.REG.COST.PC.MA.ZS

	Country Name	Country Code	2016
1	South Sudan	SSD	422.4
2	Haiti	HTI	219.3
3	Central African Republic	CAF	209.4
4	Somalia	SOM	176.5
5	Djibouti	DJI	167
6	Chad	TCD	159.8
7	Micronesia, Fed. Sts.	FSM	140.4
8	Venezuela, RB	VEN	136.4
9	Gambia, The	GMB	125.2
10	Zimbabwe	ZWE	119.2

Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.

Cost to export, border compliance (US$):IC.EXP.CSBC.CD

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	2,223
2	Congo, Rep.	COG	1,975
3	Gabon	GAB	1,633
4	Samoa	WSM	1,400
5	Venezuela, RB	VEN	1,250
6	Tanzania	TZA	1,160
7	Syrian Arab Republic	SYR	1,113
8	Uruguay	URY	1,095
9	Grenada	GRD	1,034
10	Iraq	IRQ	1,018

Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.

Cost to export, documentary compliance (US$):IC.EXP.CSDC.CD

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	2,500
2	Iraq	IRQ	1,800
3	Syrian Arab Republic	SYR	725
4	Liberia	LBR	628
5	Bahamas, The	BHS	550
6	Sudan	SDN	428
7	Papua New Guinea	PNG	375
8	Venezuela, RB	VEN	375
9	Algeria	DZA	374
10	Somalia	SOM	350

Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.

Cost to import, border compliance (US$):IC.IMP.CSBC.CD

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	3,039
2	Grenada	GRD	1,745
3	Barbados	BRB	1,585
4	Congo, Rep.	COG	1,581
5	Venezuela, RB	VEN	1,500
6	Cameroon	CMR	1,407
7	Bahamas, The	BHS	1,385
8	Tanzania	TZA	1,350
9	Gabon	GAB	1,320
10	Bangladesh	BGD	1,294

Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.

Cost to import, documentary compliance (US$):IC.IMP.CSDC.CD

	Country Name	Country Code	2016
1	Burundi	BDI	1,025
2	Egypt, Arab Rep.	EGY	1,000
3	Afghanistan	AFG	900
4	Iraq	IRQ	900
5	Congo, Dem. Rep.	COD	875
6	Cameroon	CMR	849
7	Pakistan	PAK	786
8	Ethiopia	ETH	750
9	Syrian Arab Republic	SYR	742
10	Qatar	QAT	617

Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.

Depth of credit information index (0=low to 8=high):IC.CRD.INFO.XQ

	Country Name	Country Code	2016
1	Argentina	ARG	8
2	Armenia	ARM	8
3	Bahrain	BHR	8
4	Canada	CAN	8
5	China	CHN	8
6	Dominican Republic	DOM	8
7	Ecuador	ECU	8
8	Egypt, Arab Rep.	EGY	8
9	Georgia	GEO	8
10	Germany	DEU	8

Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions.

Depth of the food deficit (kilocalories per person per day):SN.ITK.DFCT

	Country Name	Country Code	2016
1	Haiti	HTI	546
2	Zambia	ZMB	405
3	Central African Republic	CAF	380
4	Korea, Dem. People’s Rep.	PRK	343
5	Namibia	NAM	325
6	Chad	TCD	261
7	Zimbabwe	ZWE	259
8	Liberia	LBR	256
9	Tajikistan	TJK	250
10	Tanzania	TZA	238

The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.

Disbursements on external debt, long-term (DIS, current US$):DT.DIS.DLXF.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	316,853,726,000
2	Middle income	MIC	306,504,723,000
3	Lower middle income	LMC	249,906,050,000
4	South Asia	SAS	196,769,525,000
5	Pakistan	PAK	177,588,183,000
6	Upper middle income	UMC	56,598,673,000
7	Sub-Saharan Africa (excluding high income)	SSA	31,762,727,000
8	Latin America & Caribbean (excluding high income)	LAC	28,703,279,000
9	Europe & Central Asia (excluding high income)	ECA	27,626,144,000
10	IDA only	IDX	26,603,963,000

Disbursements on long-term debt are drawings by the borrower on loan commitments during the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.

Distance to frontier score (0=lowest performance to 100=frontier):IC.BUS.DFRN.XQ

	Country Name	Country Code	2016
1	New Zealand	NZL	87.01
2	Singapore	SGP	85.05
3	Denmark	DNK	84.87
4	Hong Kong SAR, China	HKG	84.21
5	Korea, Rep.	KOR	84.07
6	Norway	NOR	82.82
7	United Kingdom	GBR	82.74
8	United States	USA	82.45
9	Sweden	SWE	82.13
10	Macedonia, FYR	MKD	81.74

Distance to frontier score illustrates the distance of an economy to the frontier

Ease of doing business index (1=most business-friendly regulations):IC.BUS.EASE.XQ

	Country Name	Country Code	2016
1	Somalia	SOM	190
2	Eritrea	ERI	189
3	Libya	LBY	188
4	Venezuela, RB	VEN	187
5	South Sudan	SSD	186
6	Central African Republic	CAF	185
7	Congo, Dem. Rep.	COD	184
8	Afghanistan	AFG	183
9	Angola	AGO	182
10	Haiti	HTI	181

Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country’s percentile rankings on 10 topics covered in the World Bank’s Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.

Employment to population ratio, 15+, female (%) (modeled ILO estimate):SL.EMP.TOTL.SP.FE.ZS

	Country Name	Country Code	2016
1	Rwanda	RWA	84.007
2	Burundi	BDI	83.006
3	Madagascar	MDG	81.527
4	Uganda	UGA	80.804
5	Nepal	NPL	77.439
6	Lao PDR	LAO	76.817
7	Malawi	MWI	75.469
8	Cambodia	KHM	75.394
9	Togo	TGO	75.164
10	Burkina Faso	BFA	74.964

Employment to population ratio is the proportion of a country’s population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.

Employment to population ratio, 15+, male (%) (modeled ILO estimate):SL.EMP.TOTL.SP.MA.ZS

	Country Name	Country Code	2016
1	Qatar	QAT	93.726
2	United Arab Emirates	ARE	88.492
3	Madagascar	MDG	87.677
4	Burkina Faso	BFA	87.176
5	Cambodia	KHM	86.57
6	Niger	NER	86.496
7	Ethiopia	ETH	86.277
8	Uganda	UGA	85.335
9	Equatorial Guinea	GNQ	85.277
10	Bahrain	BHR	84.59

Employment to population ratio is the proportion of a country’s population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.

Employment to population ratio, 15+, total (%) (modeled ILO estimate):SL.EMP.TOTL.SP.ZS

	Country Name	Country Code	2016
1	Madagascar	MDG	84.569
2	Qatar	QAT	83.869
3	Uganda	UGA	83.051
4	Rwanda	RWA	82.731
5	Burundi	BDI	82.339
6	Burkina Faso	BFA	80.941
7	Cambodia	KHM	80.739
8	Nepal	NPL	80.337
9	Zimbabwe	ZWE	78.32
10	Ethiopia	ETH	78.236

Employment to population ratio is the proportion of a country’s population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.

Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate):SL.EMP.1524.SP.FE.ZS

	Country Name	Country Code	2016
1	Nepal	NPL	71.946
2	Madagascar	MDG	71.868
3	Uganda	UGA	71.431
4	Iceland	ISL	71.427
5	Rwanda	RWA	70.082
6	Burkina Faso	BFA	69.71
7	Lao PDR	LAO	67.631
8	Cambodia	KHM	67.178
9	Burundi	BDI	66.216
10	Guinea	GIN	65.831

Employment to population ratio is the proportion of a country’s population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.

Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate):SL.EMP.1524.SP.MA.ZS

	Country Name	Country Code	2016
1	Burkina Faso	BFA	77.093
2	Equatorial Guinea	GNQ	76.853
3	Ethiopia	ETH	76.674
4	Madagascar	MDG	75.501
5	Niger	NER	75.295
6	Qatar	QAT	73.788
7	Uganda	UGA	73.648
8	Cambodia	KHM	73.435
9	Nepal	NPL	71.001
10	Eritrea	ERI	70.973

Employment to population ratio is the proportion of a country’s population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.

Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate):SL.EMP.1524.SP.ZS

	Country Name	Country Code	2016
1	Madagascar	MDG	73.681
2	Burkina Faso	BFA	73.458
3	Uganda	UGA	72.542
4	Nepal	NPL	71.477
5	Ethiopia	ETH	71.174
6	Cambodia	KHM	70.373
7	Iceland	ISL	68.013
8	Rwanda	RWA	67.827
9	Eritrea	ERI	67.457
10	Guinea	GIN	63.92

Employment to population ratio is the proportion of a country’s population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.

Fish species, threatened:EN.FSH.THRD.NO

	Country Name	Country Code	2016
1	World	WLD	8,124
2	IDA & IBRD total	IBT	5,669
3	Low & middle income	LMY	5,482
4	Middle income	MIC	4,326
5	IBRD only	IBD	3,014
6	IDA total	IDA	2,655
7	Early-demographic dividend	EAR	2,467
8	Upper middle income	UMC	2,315
9	High income	HIC	2,263
10	Sub-Saharan Africa	SSF	2,023

Fish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.

GDP per person employed (constant 2011 PPP $):SL.GDP.PCAP.EM.KD

	Country Name	Country Code	2016
1	Luxembourg	LUX	206,734
2	Qatar	QAT	191,231.4
3	Macao SAR, China	MAC	163,867.1
4	Ireland	IRL	146,229.8
5	Singapore	SGP	141,226.6
6	Brunei Darussalam	BRN	137,803.7
7	Saudi Arabia	SAU	135,183.3
8	Kuwait	KWT	130,634.9
9	Norway	NOR	126,236.2
10	United States	USA	111,711.8

GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2011 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.

Inflation, consumer prices (annual %):FP.CPI.TOTL.ZG

	Country Name	Country Code	2016
1	South Sudan	SSD	380.7769
2	Suriname	SUR	55.48444
3	Angola	AGO	34.73616
4	Mozambique	MOZ	19.85384
5	Ghana	GHA	17.47392
6	Nigeria	NGA	15.69685
7	Ukraine	UKR	13.89504
8	Haiti	HTI	13.83374
9	Egypt, Arab Rep.	EGY	13.81464
10	Belarus	BLR	11.83658

Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.

Interest payments on external debt, long-term (INT, current US$):DT.INT.DLXF.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	152,786,673,000
2	Middle income	MIC	151,376,732,000
3	Upper middle income	UMC	112,072,711,000
4	Latin America & Caribbean (excluding high income)	LAC	51,224,832,000
5	Europe & Central Asia (excluding high income)	ECA	44,912,704,000
6	Lower middle income	LMC	39,304,021,000
7	East Asia & Pacific (excluding high income)	EAP	28,408,286,000
8	Brazil	BRA	17,508,121,000
9	South Asia	SAS	16,529,510,000
10	Russian Federation	RUS	12,807,616,000

Interest payments on long-term debt are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.

Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate):SL.TLF.ACTI.1524.FE.ZS

	Country Name	Country Code	2016
1	Iceland	ISL	76.56
2	Guinea	GIN	74.971
3	Mozambique	MOZ	74.874
4	Nepal	NPL	74.711
5	Madagascar	MDG	74.697
6	Uganda	UGA	74.359
7	Ethiopia	ETH	74.186
8	Eritrea	ERI	73.361
9	Rwanda	RWA	72.634
10	Burkina Faso	BFA	72.377

Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.

Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate):SL.TLF.ACTI.1524.MA.ZS

	Country Name	Country Code	2016
1	Equatorial Guinea	GNQ	87.604
2	Burkina Faso	BFA	81.912
3	Ethiopia	ETH	80.594
4	Niger	NER	80.07
5	Eritrea	ERI	79.999
6	Madagascar	MDG	77.794
7	Uganda	UGA	76.778
8	Nepal	NPL	76.001
9	Zimbabwe	ZWE	75.735
10	Qatar	QAT	74.043

Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.

Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate):SL.TLF.ACTI.1524.ZS

	Country Name	Country Code	2016
1	Ethiopia	ETH	77.418
2	Burkina Faso	BFA	77.218
3	Eritrea	ERI	76.722
4	Madagascar	MDG	76.243
5	Uganda	UGA	75.571
6	Nepal	NPL	75.351
7	Iceland	ISL	74.304
8	Guinea	GIN	72.159
9	Equatorial Guinea	GNQ	71.531
10	Korea, Dem. People’s Rep.	PRK	71.356

Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.

Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate):SL.TLF.CACT.FE.ZS

	Country Name	Country Code	2016
1	Rwanda	RWA	86.267
2	Burundi	BDI	84.613
3	Madagascar	MDG	83.827
4	Mozambique	MOZ	82.344
5	Uganda	UGA	82.333
6	Malawi	MWI	81.235
7	Togo	TGO	81.046
8	Nepal	NPL	79.695
9	Guinea	GIN	79.446
10	Zimbabwe	ZWE	77.9

Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.

Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate):SL.TLF.CACT.MA.ZS

	Country Name	Country Code	2016
1	Qatar	QAT	93.812
2	Equatorial Guinea	GNQ	91.893
3	United Arab Emirates	ARE	91.086
4	Burkina Faso	BFA	90.574
5	Eritrea	ERI	90.18
6	Niger	NER	89.299
7	Ethiopia	ETH	89.061
8	Madagascar	MDG	89.055
9	Uganda	UGA	87.69
10	Zimbabwe	ZWE	87.393

Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.

Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate):SL.TLF.CACT.ZS

	Country Name	Country Code	2016
1	Madagascar	MDG	86.413
2	Uganda	UGA	84.989
3	Rwanda	RWA	84.876
4	Qatar	QAT	84.06
5	Eritrea	ERI	83.889
6	Burundi	BDI	83.677
7	Burkina Faso	BFA	83.432
8	Nepal	NPL	83.005
9	Ethiopia	ETH	82.995
10	Zimbabwe	ZWE	82.52

Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.

Labor force, female (% of total labor force):SL.TLF.TOTL.FE.ZS

	Country Name	Country Code	2016
1	Rwanda	RWA	54.36766
2	Mozambique	MOZ	54.36564
3	Burundi	BDI	51.65772
4	Togo	TGO	51.18997
5	Lao PDR	LAO	50.97765
6	Nepal	NPL	50.77752
7	Malawi	MWI	50.53004
8	Congo, Dem. Rep.	COD	50.09167
9	Ghana	GHA	50.04171
10	Lithuania	LTU	49.92663

Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period.

Labor force, total:SL.TLF.TOTL.IN

	Country Name	Country Code	2016
1	World	WLD	3,422,034,524
2	IDA & IBRD total	IBT	2,848,242,012
3	Low & middle income	LMY	2,838,914,082
4	Middle income	MIC	2,557,113,857
5	IBRD only	IBD	2,147,793,894
6	Upper middle income	UMC	1,357,242,665
7	Early-demographic dividend	EAR	1,301,331,106
8	East Asia & Pacific	EAS	1,254,800,727
9	Late-demographic dividend	LTE	1,249,769,849
10	Lower middle income	LMC	1,199,871,192

Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.

Labor tax and contributions (% of commercial profits):IC.TAX.LABR.CP.ZS

	Country Name	Country Code	2016
1	France	FRA	53.5
2	Belgium	BEL	48.9
3	Italy	ITA	43.4
4	Ukraine	UKR	43.1
5	Slovak Republic	SVK	39.7
6	Belarus	BLR	39
7	Estonia	EST	38.8
8	Czech Republic	CZE	38.4
9	Spain	ESP	35.9
10	Sweden	SWE	35.4

Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business.

Land area (sq. km):AG.LND.TOTL.K2

	Country Name	Country Code	2016
1	World	WLD	129,733,173
2	IDA & IBRD total	IBT	95,716,398
3	Low & middle income	LMY	94,660,036
4	Middle income	MIC	81,277,815
5	IBRD only	IBD	67,941,107
6	Upper middle income	UMC	59,524,885
7	Late-demographic dividend	LTE	44,530,502
8	High income	HIC	35,073,137
9	OECD members	OED	34,403,746
10	Early-demographic dividend	EAR	33,107,715

Land area is a country’s total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

Lending interest rate (%):FR.INR.LEND

	Country Name	Country Code	2016
1	Brazil	BRA	52.21667
2	Argentina	ARG	31.2325
3	Kyrgyz Republic	KGZ	22.23
4	Mozambique	MOZ	21.14779
5	Venezuela, RB	VEN	20.775
6	Mongolia	MNG	19.74153
7	Sao Tome and Principe	STP	19.585
8	Ukraine	UKR	19.23717
9	Armenia	ARM	17.35671
10	Nigeria	NGA	16.86702

Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attached to these rates differ by country, however, limiting their comparability.

Logistics performance index: Ability to track and trace consignments (1=low to 5=high):LP.LPI.TRAC.XQ

	Country Name	Country Code	2016
1	Sweden	SWE	4.377678
2	Austria	AUT	4.355787
3	Germany	DEU	4.26539
4	Belgium	BEL	4.224394
5	United States	USA	4.200025
6	Netherlands	NLD	4.171777
7	North America	NAC	4.150461
8	United Kingdom	GBR	4.12957
9	Luxembourg	LUX	4.1225
10	Canada	CAN	4.100897

Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the ability to track and trace consignments when shipping to the market, on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.

Logistics performance index: Competence and quality of logistics services (1=low to 5=high):LP.LPI.LOGS.XQ

	Country Name	Country Code	2016
1	Germany	DEU	4.27905
2	Sweden	SWE	4.246615
3	Netherlands	NLD	4.21524
4	Austria	AUT	4.181863
5	Singapore	SGP	4.09353
6	Belgium	BEL	4.070602
7	United Kingdom	GBR	4.04508
8	United States	USA	4.014226
9	Denmark	DNK	4.010558
10	Luxembourg	LUX	4.01

Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the overall level of competence and quality of logistics services (e.g. transport operators, customs brokers), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.

Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high):LP.LPI.ITRN.XQ

	Country Name	Country Code	2016
1	Luxembourg	LUX	4.235
2	Hong Kong SAR, China	HKG	4.054683
3	Belgium	BEL	4.050997
4	Sweden	SWE	4.003465
5	Singapore	SGP	3.956593
6	Netherlands	NLD	3.944028
7	United Arab Emirates	ARE	3.893777
8	Germany	DEU	3.857241
9	Austria	AUT	3.850089
10	Ireland	IRL	3.825702

Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents.

Logistics performance index: Efficiency of customs clearance process (1=low to 5=high):LP.LPI.CUST.XQ

	Country Name	Country Code	2016
1	Singapore	SGP	4.178941
2	Germany	DEU	4.123067
3	Netherlands	NLD	4.122913
4	Finland	FIN	4.005364
5	United Kingdom	GBR	3.983798
6	Canada	CAN	3.952071
7	Hong Kong SAR, China	HKG	3.937721
8	Sweden	SWE	3.915508
9	Luxembourg	LUX	3.9
10	Switzerland	CHE	3.879906

Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated efficiency of customs clearance processes (i.e. speed, simplicity and predictability of formalities), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.

Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high):LP.LPI.TIME.XQ

	Country Name	Country Code	2016
1	Luxembourg	LUX	4.795714
2	Germany	DEU	4.453368
3	Sweden	SWE	4.452816
4	Belgium	BEL	4.426187
5	Netherlands	NLD	4.413116
6	Singapore	SGP	4.395202
7	Austria	AUT	4.371814
8	United Kingdom	GBR	4.33487
9	Hong Kong SAR, China	HKG	4.289687
10	Israel	ISR	4.266733

Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed how often the shipments to assessed markets reach the consignee within the scheduled or expected delivery time, on a rating ranging from 1 (hardly ever) to 5 (nearly always). Scores are averaged across all respondents.

Logistics performance index: Overall (1=low to 5=high):LP.LPI.OVRL.XQ

	Country Name	Country Code	2016
1	Germany	DEU	4.225967
2	Luxembourg	LUX	4.219409
3	Sweden	SWE	4.204593
4	Netherlands	NLD	4.18753
5	Singapore	SGP	4.143632
6	Belgium	BEL	4.108538
7	Austria	AUT	4.097985
8	United Kingdom	GBR	4.069669
9	Hong Kong SAR, China	HKG	4.069103
10	United States	USA	3.992172

Logistics Performance Index overall score reflects perceptions of a country’s logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010).

Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high):LP.LPI.INFR.XQ

	Country Name	Country Code	2016
1	Germany	DEU	4.439356
2	Netherlands	NLD	4.289743
3	Sweden	SWE	4.270132
4	Luxembourg	LUX	4.235
5	United Kingdom	GBR	4.20566
6	Singapore	SGP	4.20396
7	Switzerland	CHE	4.189523
8	United States	USA	4.152011
9	North America	NAC	4.146813
10	Canada	CAN	4.141614

Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent’s country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others’ Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents evaluated the quality of trade and transport related infrastructure (e.g. ports, railroads, roads, information technology), on a rating ranging from 1 (very low) to 5 (very high). Scores are averaged across all respondents.

Lower secondary school starting age (years):SE.SEC.AGES

	Country Name	Country Code	2016
1	Namibia	NAM	14
2	South Africa	ZAF	14
3	Tanzania	TZA	14
4	Zambia	ZMB	14
5	Afghanistan	AFG	13
6	Bhutan	BTN	13
7	Botswana	BWA	13
8	Burundi	BDI	13
9	Denmark	DNK	13
10	El Salvador	SLV	13

Lower secondary school starting age is the age at which students would enter lower secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.

Mammal species, threatened:EN.MAM.THRD.NO

	Country Name	Country Code	2016
1	World	WLD	3,406
2	IDA & IBRD total	IBT	2,839
3	Low & middle income	LMY	2,809
4	Middle income	MIC	2,190
5	IBRD only	IBD	1,490
6	Early-demographic dividend	EAR	1,381
7	IDA total	IDA	1,349
8	Lower middle income	LMC	1,134
9	Upper middle income	UMC	1,056
10	IDA only	IDX	1,035

Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.

Methodology assessment of statistical capacity (scale 0 - 100):IQ.SCI.MTHD

	Country Name	Country Code	2016
1	Armenia	ARM	100
2	China	CHN	100
3	Hungary	HUN	100
4	Mauritius	MUS	100
5	Mexico	MEX	100
6	Moldova	MDA	100
7	Peru	PER	100
8	Ukraine	UKR	100
9	Argentina	ARG	90
10	Belarus	BLR	90

The methodology indicator measures a country’s ability to adhere to internationally recommended standards and methods. The methodology score is calculated as the weighted average of 10 underlying indicator scores. The final methodology score contributes 1/3 of the overall Statistical Capacity Indicator score.

Net domestic credit (current LCU):FM.AST.DOMS.CN

	Country Name	Country Code	2016
1	Indonesia	IDN	5,342,727,404,647,590
2	China	CHN	160,006,721,141,338
3	Paraguay	PRY	67,898,707,787,272
4	Cambodia	KHM	47,795,275,481,437
5	Nigeria	NGA	26,399,230,677,343
6	Costa Rica	CRI	21,328,655,314,225
7	Hungary	HUN	20,172,668,100,000
8	Kazakhstan	KAZ	18,507,783,243,458
9	Mongolia	MNG	18,239,471,690,009
10	Thailand	THA	18,192,808,385,056

Net domestic credit is the sum of net claims on the central government and claims on other sectors of the domestic economy (IFS line 32). Data are in current local currency.

Net foreign assets (current LCU):FM.AST.NFRG.CN

	Country Name	Country Code	2016
1	Indonesia	IDN	1,297,502,880,361,260
2	Paraguay	PRY	35,842,368,566,364
3	Cambodia	KHM	29,737,108,698,884
4	China	CHN	26,329,449,749,371
5	India	IND	23,734,077,474,155
6	Algeria	DZA	12,442,712,490,235
7	Uganda	UGA	12,040,939,567,782
8	Kazakhstan	KAZ	10,879,102,619,604
9	Hungary	HUN	8,653,415,927,424
10	Nigeria	NGA	8,554,808,241,290

Net foreign assets are the sum of foreign assets held by monetary authorities and deposit money banks, less their foreign liabilities. Data are in current local currency.

Official exchange rate (LCU per US$, period average):PA.NUS.FCRF

	Country Name	Country Code	2016
1	Iran, Islamic Rep.	IRN	30,914.852
2	Sao Tome and Principe	STP	22,148.861
3	Indonesia	IDN	13,308.327
4	Belarus	BLR	11,793.855
5	Paraguay	PRY	5,670.517
6	Cambodia	KHM	4,058.695
7	Uganda	UGA	3,420.098
8	Madagascar	MDG	3,176.539
9	Colombia	COL	3,054.122
10	Tanzania	TZA	2,177.086

Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to the U.S. dollar).

Other taxes payable by businesses (% of commercial profits):IC.TAX.OTHR.CP.ZS

	Country Name	Country Code	2016
1	Comoros	COM	184.4
2	Argentina	ARG	108.1
3	Eritrea	ERI	74.5
4	Bolivia	BOL	64.9
5	Central African Republic	CAF	53.5
6	Marshall Islands	MHL	53
7	Micronesia, Fed. Sts.	FSM	52
8	Mauritania	MRT	48.1
9	Gambia, The	GMB	44.5
10	Guinea	GIN	41.9

Other taxes payable by businesses include the amounts paid for property taxes, turnover taxes, and other small taxes such as municipal fees and vehicle and fuel taxes.

Overall level of statistical capacity (scale 0 - 100):IQ.SCI.OVRL

	Country Name	Country Code	2016
1	Mexico	MEX	98.8889
2	Chile	CHL	95.55557
3	Moldova	MDA	95.55557
4	Peru	PER	93.33333
5	Armenia	ARM	92.22223
6	El Salvador	SLV	92.22223
7	Kazakhstan	KAZ	92.22223
8	Mauritius	MUS	91.11113
9	Serbia	SRB	90
10	Argentina	ARG	88.8889

The Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall Statistical Capacity score is then calculated as a simple average of all three area scores on a scale of 0-100.

Periodicity and timeliness assessment of statistical capacity (scale 0 - 100):IQ.SCI.PRDC

	Country Name	Country Code	2016
1	Dominican Republic	DOM	100
2	Indonesia	IDN	100
3	Peru	PER	100
4	Azerbaijan	AZE	96.6667
5	Chile	CHL	96.6667
6	Colombia	COL	96.6667
7	El Salvador	SLV	96.6667
8	Kazakhstan	KAZ	96.6667
9	Kyrgyz Republic	KGZ	96.6667
10	Mexico	MEX	96.6667

The periodicity and timeliness indicator assesses the availability and periodicity of key socioeconomic indicators. It measures the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. The periodicity score is calculated as the weighted average of 10 underlying indicator scores. The final periodicity score contributes 1/3 of the overall Statistical Capacity Indicator score.

Plant species (higher), threatened:EN.HPT.THRD.NO

	Country Name	Country Code	2016
1	World	WLD	15,056
2	Low & middle income	LMY	12,741
3	IDA & IBRD total	IBT	12,723
4	Middle income	MIC	10,779
5	IBRD only	IBD	8,091
6	Upper middle income	UMC	6,808
7	Early-demographic dividend	EAR	5,839
8	Latin America & Caribbean	LCN	5,108
9	Latin America & Caribbean (excluding high income)	LAC	4,876
10	Latin America & the Caribbean (IDA & IBRD countries)	TLA	4,799

Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.

PPG, bilateral (AMT, current US$):DT.AMT.BLAT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	40,406,078,000
2	Middle income	MIC	39,024,018,000
3	Upper middle income	UMC	21,761,522,000
4	Lower middle income	LMC	17,262,496,000
5	Sub-Saharan Africa (excluding high income)	SSA	10,344,015,000
6	Latin America & Caribbean (excluding high income)	LAC	9,193,994,000
7	East Asia & Pacific (excluding high income)	EAP	9,095,950,000
8	Angola	AGO	6,794,121,000
9	Middle East & North Africa (excluding high income)	MNA	5,176,420,000
10	IDA only	IDX	4,496,517,000

Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, bilateral (DIS, current US$):DT.DIS.BLAT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	48,006,213,000
2	Middle income	MIC	44,173,790,000
3	Lower middle income	LMC	28,537,059,000
4	Sub-Saharan Africa (excluding high income)	SSA	15,740,422,000
5	Upper middle income	UMC	15,636,731,000
6	IDA only	IDX	11,381,499,000
7	South Asia	SAS	9,654,030,000
8	East Asia & Pacific (excluding high income)	EAP	8,917,129,000
9	Angola	AGO	6,486,626,000
10	India	IND	5,391,769,000

Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Disbursements are drawings by the borrower on loan commitments during the year specified. Data are in current U.S. dollars.

PPG, bilateral (INT, current US$):DT.INT.BLAT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	5,757,044,000
2	Middle income	MIC	5,310,169,000
3	Lower middle income	LMC	3,362,951,000
4	Upper middle income	UMC	1,947,218,000
5	East Asia & Pacific (excluding high income)	EAP	1,750,517,000
6	IDA only	IDX	1,117,503,000
7	South Asia	SAS	1,003,322,000
8	Latin America & Caribbean (excluding high income)	LAC	875,431,000
9	Sub-Saharan Africa (excluding high income)	SSA	847,142,000
10	Middle East & North Africa (excluding high income)	MNA	766,354,000

Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, multilateral (AMT, current US$):DT.AMT.MLAT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	37,833,177,000
2	Middle income	MIC	36,515,148,000
3	Upper middle income	UMC	19,606,804,000
4	Lower middle income	LMC	16,908,344,000
5	Latin America & Caribbean (excluding high income)	LAC	10,115,728,000
6	Europe & Central Asia (excluding high income)	ECA	9,208,068,000
7	South Asia	SAS	6,318,055,000
8	East Asia & Pacific (excluding high income)	EAP	5,719,132,000
9	India	IND	3,864,907,000
10	Middle East & North Africa (excluding high income)	MNA	3,833,094,000

Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, multilateral (DIS, current US$):DT.DIS.MLAT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	62,109,763,000
2	Middle income	MIC	56,731,727,000
3	Lower middle income	LMC	36,194,436,000
4	Upper middle income	UMC	20,537,291,000
5	Europe & Central Asia (excluding high income)	ECA	16,893,772,000
6	IDA only	IDX	12,363,438,000
7	Latin America & Caribbean (excluding high income)	LAC	11,088,816,000
8	Sub-Saharan Africa (excluding high income)	SSA	10,662,160,000
9	South Asia	SAS	9,434,137,000
10	Ukraine	UKR	9,211,709,000

Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Disbursements are drawings by the borrower on loan commitments during the year specified. Data are in current U.S. dollars.

PPG, multilateral (INT, current US$):DT.INT.MLAT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	4,090,953,000
2	Middle income	MIC	3,616,410,000
3	Lower middle income	LMC	2,412,950,000
4	IDA only	IDX	1,337,861,000
5	Upper middle income	UMC	1,203,460,000
6	Europe & Central Asia (excluding high income)	ECA	1,006,025,000
7	Sub-Saharan Africa (excluding high income)	SSA	853,105,000
8	South Asia	SAS	767,772,000
9	Middle East & North Africa (excluding high income)	MNA	575,685,000
10	East Asia & Pacific (excluding high income)	EAP	502,611,000

Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, official creditors (AMT, current US$):DT.AMT.OFFT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	78,239,255,000
2	Middle income	MIC	75,539,166,000
3	Upper middle income	UMC	41,368,326,000
4	Lower middle income	LMC	34,170,840,000
5	Latin America & Caribbean (excluding high income)	LAC	19,309,722,000
6	East Asia & Pacific (excluding high income)	EAP	14,815,082,000
7	Sub-Saharan Africa (excluding high income)	SSA	12,983,115,000
8	Europe & Central Asia (excluding high income)	ECA	11,864,269,000
9	South Asia	SAS	10,257,553,000
10	Middle East & North Africa (excluding high income)	MNA	9,009,514,000

Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, official creditors (DIS, current US$):DT.DIS.OFFT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	110,115,976,000
2	Middle income	MIC	100,905,517,000
3	Lower middle income	LMC	64,731,495,000
4	Upper middle income	UMC	36,174,022,000
5	Sub-Saharan Africa (excluding high income)	SSA	26,402,582,000
6	IDA only	IDX	23,744,937,000
7	Europe & Central Asia (excluding high income)	ECA	21,780,411,000
8	South Asia	SAS	19,088,167,000
9	East Asia & Pacific (excluding high income)	EAP	16,396,393,000
10	Latin America & Caribbean (excluding high income)	LAC	16,003,739,000

Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Disbursements are drawings by the borrower on loan commitments during the year specified. Data are in current U.S. dollars.

PPG, official creditors (INT, current US$):DT.INT.OFFT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	9,847,997,000
2	Middle income	MIC	8,926,579,000
3	Lower middle income	LMC	5,775,901,000
4	Upper middle income	UMC	3,150,678,000
5	IDA only	IDX	2,455,364,000
6	East Asia & Pacific (excluding high income)	EAP	2,253,128,000
7	South Asia	SAS	1,771,094,000
8	Sub-Saharan Africa (excluding high income)	SSA	1,700,247,000
9	Europe & Central Asia (excluding high income)	ECA	1,520,303,000
10	Middle East & North Africa (excluding high income)	MNA	1,342,039,000

Public and publicly guaranteed debt from official creditors includes loans from international organizations (multilateral loans) and loans from governments (bilateral loans). Loans from international organization include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization on behalf of a single donor government; these are classified as loans from governments. Government loans include loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

Preprimary education, duration (years):SE.PRE.DURS

	Country Name	Country Code	2016
1	Afghanistan	AFG	4
2	Bulgaria	BGR	4
3	Central Europe and the Baltics	CEB	4
4	Croatia	HRV	4
5	Denmark	DNK	4
6	Estonia	EST	4
7	Europe & Central Asia (IDA & IBRD countries)	TEC	4
8	Finland	FIN	4
9	Gambia, The	GMB	4
10	Hungary	HUN	4

Preprimary duration refers to the number of grades (years) in preprimary school.

Presence of peace keepers (number of troops, police, and military observers in mandate):VC.PKP.TOTL.UN

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	18,753
2	South Sudan	SSD	12,816
3	Central African Republic	CAF	12,135
4	Mali	MLI	12,057
5	Lebanon	LBN	10,541
6	Haiti	HTI	4,828
7	Cote d’Ivoire	CIV	2,622
8	Liberia	LBR	1,712
9	Syrian Arab Republic	SYR	829
10	Somalia	SOM	591

Presence of peacebuilders and peacekeepers are active in peacebuilding and peacekeeping. Peacebuilding reduces the risk of lapsing or relapsing into conflict by strengthening national capacities at all levels of for conflict management, and to lay the foundation for sustainable peace and development. Peacekeepers provide essential security to preserve the peace, however fragile, where fighting has been halted, and to assist in implementing agreements achieved by the peacemakers. Peacekeepers deploy to war-torn regions where no one else is willing or able to go and prevent conflict from returning or escalating. Peacekeepers include police, troops, and military observers.

Primary education, duration (years):SE.PRM.DURS

	Country Name	Country Code	2016
1	Ireland	IRL	8
2	Antigua and Barbuda	ATG	7
3	Australia	AUS	7
4	Bhutan	BTN	7
5	Botswana	BWA	7
6	British Virgin Islands	VGB	7
7	Dominica	DMA	7
8	Grenada	GRD	7
9	Iceland	ISL	7
10	Lesotho	LSO	7

Primary duration refers to the number of grades (years) in primary school.

Primary school starting age (years):SE.PRM.AGES

	Country Name	Country Code	2016
1	Afghanistan	AFG	7
2	Bulgaria	BGR	7
3	Burundi	BDI	7
4	Croatia	HRV	7
5	Denmark	DNK	7
6	El Salvador	SLV	7
7	Equatorial Guinea	GNQ	7
8	Eritrea	ERI	7
9	Estonia	EST	7
10	Ethiopia	ETH	7

Primary school starting age is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without repeating or skipping a grade.

Principal repayments on external debt, long-term (AMT, current US$):DT.AMT.DLXF.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	565,205,007,000
2	Middle income	MIC	560,508,536,000
3	Upper middle income	UMC	436,772,553,000
4	Europe & Central Asia (excluding high income)	ECA	201,372,788,000
5	Latin America & Caribbean (excluding high income)	LAC	178,670,426,000
6	Lower middle income	LMC	123,735,983,000
7	East Asia & Pacific (excluding high income)	EAP	95,677,660,000
8	Brazil	BRA	88,983,358,000
9	Turkey	TUR	55,151,718,000
10	Russian Federation	RUS	53,062,143,000

Principal repayments on long-term debt are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.

Private credit bureau coverage (% of adults):IC.CRD.PRVT.ZS

	Country Name	Country Code	2016
1	Argentina	ARG	100
2	Australia	AUS	100
3	Canada	CAN	100
4	Costa Rica	CRI	100
5	Croatia	HRV	100
6	Germany	DEU	100
7	Hong Kong SAR, China	HKG	100
8	Iceland	ISL	100
9	Ireland	IRL	100
10	Italy	ITA	100

Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.

Procedures to build a warehouse (number):IC.WRH.PROC

	Country Name	Country Code	2016
1	India	IND	35.1
2	Guinea	GIN	27
3	Moldova	MDA	27
4	Tajikistan	TJK	27
5	El Salvador	SLV	24
6	Philippines	PHL	24
7	Cote d’Ivoire	CIV	23
8	Kuwait	KWT	23
9	South Sudan	SSD	23
10	Uzbekistan	UZB	23

Number of procedures to build a warehouse is the number of interactions of a company’s employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apart from architects and engineers.

Procedures to register property (number):IC.PRP.PROC

	Country Name	Country Code	2016
1	Brazil	BRA	13.6
2	Nigeria	NGA	12.1
3	Eritrea	ERI	11
4	Algeria	DZA	10
5	Greece	GRC	10
6	Liberia	LBR	10
7	Solomon Islands	SLB	10
8	Uganda	UGA	10
9	Afghanistan	AFG	9
10	Belize	BLZ	9

Number of procedures to register property is the number of procedures required for a businesses to secure rights to property.

Profit tax (% of commercial profits):IC.TAX.PRFT.CP.ZS

	Country Name	Country Code	2016
1	Palau	PLW	65.8
2	Equatorial Guinea	GNQ	53
3	Cameroon	CMR	38.9
4	Liberia	LBR	35.4
5	Bhutan	BTN	33.9
6	Malta	MLT	32.4
7	Comoros	COM	32.1
8	Chad	TCD	31.3
9	Honduras	HND	31.1
10	Mozambique	MOZ	30.8

Profit tax is the amount of taxes on profits paid by the business.

Proportion of seats held by women in national parliaments (%):SG.GEN.PARL.ZS

	Country Name	Country Code	2016
1	Rwanda	RWA	63.8
2	Bolivia	BOL	53.1
3	Cuba	CUB	48.9
4	Iceland	ISL	47.6
5	Sweden	SWE	43.6
6	Senegal	SEN	42.7
7	Mexico	MEX	42.4
8	South Africa	ZAF	41.8
9	Ecuador	ECU	41.6
10	Finland	FIN	41.5

Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.

Public credit registry coverage (% of adults):IC.CRD.PUBL.ZS

	Country Name	Country Code	2016
1	Portugal	PRT	100
2	Seychelles	SYC	100
3	Uruguay	URY	100
4	Belgium	BEL	95.3
5	China	CHN	91.1
6	Latvia	LVA	84.9
7	Mauritius	MUS	83.3
8	Turkey	TUR	76.6
9	Belarus	BLR	70.1
10	Bulgaria	BGR	66.9

Public credit registry coverage reports the number of individuals and firms listed in a public credit registry with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.

Ratio of female to male labor force participation rate (%) (modeled ILO estimate):SL.TLF.CACT.FM.ZS

	Country Name	Country Code	2016
1	Mozambique	MOZ	109.09235
2	Rwanda	RWA	103.59167
3	Burundi	BDI	102.31318
4	Lao PDR	LAO	100.51932
5	Malawi	MWI	100.44265
6	Togo	TGO	100.43372
7	Congo, Dem. Rep.	COD	98.11857
8	Papua New Guinea	PNG	97.87015
9	Ghana	GHA	96.12831
10	Benin	BEN	95.32397

Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.

Secondary education, duration (years):SE.SEC.DURS

	Country Name	Country Code	2016
1	Germany	DEU	9
2	Slovak Republic	SVK	9
3	Austria	AUT	8
4	Bosnia and Herzegovina	BIH	8
5	Bulgaria	BGR	8
6	Central Europe and the Baltics	CEB	8
7	Croatia	HRV	8
8	Czech Republic	CZE	8
9	Hungary	HUN	8
10	Italy	ITA	8

Secondary duration refers to the number of grades (years) in secondary school.

Secure Internet servers:IT.NET.SECR

	Country Name	Country Code	2016
1	World	WLD	1,590,393
2	High income	HIC	1,443,573
3	OECD members	OED	1,414,662
4	Post-demographic dividend	PST	1,381,328
5	Europe & Central Asia	ECS	593,033
6	North America	NAC	570,454
7	United States	USA	524,550
8	European Union	EUU	509,512
9	East Asia & Pacific	EAS	354,008
10	Euro area	EMU	337,003

Secure servers are servers using encryption technology in Internet transactions.

Secure Internet servers (per 1 million people):IT.NET.SECR.P6

	Country Name	Country Code	2016
1	Gibraltar	GIB	11,937.5
2	Liechtenstein	LIE	10,921.053
3	British Virgin Islands	VGB	9,064.516
4	Isle of Man	IMN	4,590.909
5	Monaco	MCO	4,289.474
6	Iceland	ISL	3,174.174
7	Switzerland	CHE	3,070.154
8	Netherlands	NLD	2,910.364
9	Luxembourg	LUX	2,662.045
10	Korea, Rep.	KOR	2,219.399

Secure servers are servers using encryption technology in Internet transactions.

Source data assessment of statistical capacity (scale 0 - 100):IQ.SCI.SRCE

	Country Name	Country Code	2016
1	Albania	ALB	100
2	Armenia	ARM	100
3	Chile	CHL	100
4	Egypt, Arab Rep.	EGY	100
5	El Salvador	SLV	100
6	Mexico	MEX	100
7	Mongolia	MNG	100
8	Philippines	PHL	100
9	Serbia	SRB	100
10	Uruguay	URY	100

The source data indicator reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available. The source data score is calculated as the weighted average of 5 underlying indicator scores. The final source data score contributes 1/3 of the overall Statistical Capacity Indicator score.

Start-up procedures to register a business (number):IC.REG.PROC

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	20
2	Equatorial Guinea	GNQ	17
3	Philippines	PHL	16
4	Argentina	ARG	14
5	Bolivia	BOL	14
6	Ethiopia	ETH	14
7	Eritrea	ERI	13
8	India	IND	13
9	Saudi Arabia	SAU	13
10	South Sudan	SSD	13

Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.

Start-up procedures to register a business, female (number):IC.REG.PROC.FE

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	20
2	Equatorial Guinea	GNQ	17
3	Philippines	PHL	16
4	Saudi Arabia	SAU	15
5	Argentina	ARG	14
6	Bolivia	BOL	14
7	Ethiopia	ETH	14
8	Suriname	SUR	14
9	Eritrea	ERI	13
10	Kuwait	KWT	13

Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.

Start-up procedures to register a business, male (number):IC.REG.PROC.MA

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	20
2	Equatorial Guinea	GNQ	17
3	Philippines	PHL	16
4	Argentina	ARG	14
5	Bolivia	BOL	14
6	Ethiopia	ETH	14
7	Eritrea	ERI	13
8	South Sudan	SSD	13
9	Suriname	SUR	13
10	Uganda	UGA	13

Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.

Strength of legal rights index (0=weak to 12=strong):IC.LGL.CRED.XQ

	Country Name	Country Code	2016
1	Colombia	COL	12
2	Montenegro	MNE	12
3	New Zealand	NZL	12
4	Australia	AUS	11
5	Cambodia	KHM	11
6	Micronesia, Fed. Sts.	FSM	11
7	Rwanda	RWA	11
8	United States	USA	11
9	Vanuatu	VUT	11
10	Costa Rica	CRI	10

Strength of legal rights index measures the degree to which collateral and bankruptcy laws protect the rights of borrowers and lenders and thus facilitate lending. The index ranges from 0 to 12, with higher scores indicating that these laws are better designed to expand access to credit.

Surface area (sq. km):AG.SRF.TOTL.K2

	Country Name	Country Code	2016
1	World	WLD	134,325,130
2	IDA & IBRD total	IBT	98,489,577
3	Low & middle income	LMY	97,418,321
4	Middle income	MIC	82,946,835
5	IBRD only	IBD	69,868,050
6	Upper middle income	UMC	60,997,434
7	Late-demographic dividend	LTE	45,769,159
8	High income	HIC	36,906,810
9	OECD members	OED	36,263,444
10	Early-demographic dividend	EAR	34,105,563

Surface area is a country’s total area, including areas under inland bodies of water and some coastal waterways.

Tax payments (number):IC.TAX.PAYM

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	70
2	Cote d’Ivoire	CIV	63
3	Nigeria	NGA	59
4	Senegal	SEN	58
5	Antigua and Barbuda	ATG	57
6	Benin	BEN	57
7	Guinea	GIN	57
8	Central African Republic	CAF	56
9	Chad	TCD	54
10	Tanzania	TZA	53

Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent.

Time required to build a warehouse (days):IC.WRH.DURS

	Country Name	Country Code	2016
1	Cambodia	KHM	652
2	Cyprus	CYP	507
3	Barbados	BRB	442
4	Venezuela, RB	VEN	434
5	Brazil	BRA	425.7
6	Afghanistan	AFG	356
7	Cote d’Ivoire	CIV	347
8	Argentina	ARG	341
9	Gabon	GAB	329
10	Bolivia	BOL	322

Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.

Time required to enforce a contract (days):IC.LGL.DURS

	Country Name	Country Code	2016
1	Guinea-Bissau	GNB	1,715
2	Suriname	SUR	1,715
3	Afghanistan	AFG	1,642
4	Greece	GRC	1,580
5	Bangladesh	BGD	1,442
6	India	IND	1,420
7	Guatemala	GTM	1,402
8	Barbados	BRB	1,340
9	Trinidad and Tobago	TTO	1,340
10	Sri Lanka	LKA	1,318

Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment.

Time required to get electricity (days):IC.ELC.TIME

	Country Name	Country Code	2016
1	Liberia	LBR	465
2	Guinea-Bissau	GNB	455
3	Madagascar	MDG	450
4	Bangladesh	BGD	428.9
5	Ukraine	UKR	281
6	Hungary	HUN	257
7	Venezuela, RB	VEN	208
8	Nigeria	NGA	195.2
9	Romania	ROU	182
10	Pakistan	PAK	180.7

Time required to get electricity is the number of days to obtain a permanent electricity connection. The measure captures the median duration that the electricity utility and experts indicate is necessary in practice, rather than required by law, to complete a procedure.

Time required to register property (days):IC.PRP.DURS

	Country Name	Country Code	2016
1	Kiribati	KIR	513
2	Haiti	HTI	312
3	Brunei Darussalam	BRN	298
4	Togo	TGO	283
5	Afghanistan	AFG	250
6	Bangladesh	BGD	244
7	St. Kitts and Nevis	KNA	224
8	Puerto Rico	PRI	191
9	Angola	AGO	190
10	Somalia	SOM	188

Time required to register property is the number of calendar days needed for businesses to secure rights to property.

Time required to start a business (days):IC.REG.DURS

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	230
2	Equatorial Guinea	GNQ	134
3	Cambodia	KHM	99
4	Haiti	HTI	97
5	Zimbabwe	ZWE	91
6	Suriname	SUR	84.5
7	Eritrea	ERI	84
8	Brazil	BRA	79.5
9	Somalia	SOM	70
10	Lao PDR	LAO	67

Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.

Time required to start a business, female (days):IC.REG.DURS.FE

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	230
2	Equatorial Guinea	GNQ	134
3	Cambodia	KHM	99
4	Haiti	HTI	97
5	Zimbabwe	ZWE	91
6	Suriname	SUR	85
7	Eritrea	ERI	84
8	Brazil	BRA	79.5
9	Somalia	SOM	70
10	Lao PDR	LAO	67

Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.

Time required to start a business, male (days):IC.REG.DURS.MA

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	230
2	Equatorial Guinea	GNQ	134
3	Cambodia	KHM	99
4	Haiti	HTI	97
5	Zimbabwe	ZWE	91
6	Eritrea	ERI	84
7	Suriname	SUR	84
8	Brazil	BRA	79.5
9	Somalia	SOM	70
10	Lao PDR	LAO	67

Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.

Time to export, border compliance (hours):IC.EXP.TMBC

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	515
2	Venezuela, RB	VEN	288
3	Congo, Rep.	COG	276
4	Angola	AGO	240
5	Cameroon	CMR	202
6	Liberia	LBR	193
7	Sudan	SDN	162
8	Zambia	ZMB	148
9	South Sudan	SSD	146
10	Myanmar	MMR	144

Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.

Time to export, documentary compliance (hours):IC.EXP.TMDC

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	698
2	Venezuela, RB	VEN	528
3	Iraq	IRQ	504
4	Afghanistan	AFG	228
5	Lao PDR	LAO	216
6	Guyana	GUY	200
7	Bolivia	BOL	192
8	South Sudan	SSD	192
9	Sudan	SDN	190
10	Liberia	LBR	186

Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.

Time to import, border compliance (hours):IC.IMP.TMBC

	Country Name	Country Code	2016
1	Congo, Dem. Rep.	COD	588
2	Tanzania	TZA	402
3	Congo, Rep.	COG	397
4	Algeria	DZA	327
5	Nigeria	NGA	284
6	India	IND	283
7	Angola	AGO	276
8	Cameroon	CMR	271
9	Chad	TCD	242
10	Egypt, Arab Rep.	EGY	240

Border compliance captures the time and cost associated with compliance with the economy’s customs regulations and with regulations relating to other inspections that are mandatory in order for the shipment to cross the economy’s border, as well as the time and cost for handling that takes place at its port or border. The time and cost for this segment include time and cost for customs clearance and inspection procedures conducted by other government agencies.

Time to import, documentary compliance (hours):IC.IMP.TMDC

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	1,090
2	South Sudan	SSD	360
3	Afghanistan	AFG	324
4	Iran, Islamic Rep.	IRN	270
5	Egypt, Arab Rep.	EGY	265
6	Algeria	DZA	249
7	Equatorial Guinea	GNQ	240
8	Tanzania	TZA	240
9	Congo, Dem. Rep.	COD	216
10	Lao PDR	LAO	216

Documentary compliance captures the time and cost associated with compliance with the documentary requirements of all government agencies of the origin economy, the destination economy and any transit economies. The aim is to measure the total burden of preparing the bundle of documents that will enable completion of the international trade for the product and partner pair assumed in the case study.

Time to prepare and pay taxes (hours):IC.TAX.DURS

	Country Name	Country Code	2016
1	Brazil	BRA	2,038
2	Bolivia	BOL	1,025
3	Nigeria	NGA	907.9
4	Libya	LBY	889
5	Venezuela, RB	VEN	792
6	Chad	TCD	766
7	Mauritania	MRT	724
8	Ecuador	ECU	664
9	Cameroon	CMR	630
10	Congo, Rep.	COG	602

Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security contributions.

Time to resolve insolvency (years):IC.ISV.DURS

	Country Name	Country Code	2016
1	Sao Tome and Principe	STP	6.2
2	Cambodia	KHM	6
3	Ecuador	ECU	5.3
4	Micronesia, Fed. Sts.	FSM	5.3
5	Burundi	BDI	5
6	Gabon	GAB	5
7	Myanmar	MMR	5
8	Niger	NER	5
9	Suriname	SUR	5
10	Vietnam	VNM	5

Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets.

Total tax rate (% of commercial profits):IC.TAX.TOTL.CP.ZS

	Country Name	Country Code	2016
1	Comoros	COM	216.5
2	Argentina	ARG	106
3	Bolivia	BOL	83.7
4	Eritrea	ERI	83.7
5	Equatorial Guinea	GNQ	79.4
6	Palau	PLW	75.4
7	Central African Republic	CAF	73.3
8	Mauritania	MRT	71.3
9	Colombia	COL	69.8
10	Brazil	BRA	68.4

Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted to tax authorities (such as value added taxes, sales taxes or goods and service taxes) are excluded.

Unemployment, female (% of female labor force) (modeled ILO estimate):SL.UEM.TOTL.FE.ZS

	Country Name	Country Code	2016
1	Gambia, The	GMB	38.441
2	Oman	OMN	36.75
3	Syrian Arab Republic	SYR	32.971
4	Solomon Islands	SLB	32.836
5	Lesotho	LSO	31.787
6	South Africa	ZAF	28.53
7	Greece	GRC	28.453
8	Yemen, Rep.	YEM	28.374
9	Libya	LBY	28.341
10	Namibia	NAM	28.009

Unemployment refers to the share of the labor force that is without work but available for and seeking employment.

Unemployment, male (% of male labor force) (modeled ILO estimate):SL.UEM.TOTL.MA.ZS

	Country Name	Country Code	2016
1	Solomon Islands	SLB	30.266
2	Bosnia and Herzegovina	BIH	27.878
3	Macedonia, FYR	MKD	27.213
4	West Bank and Gaza	PSE	24.173
5	South Africa	ZAF	23.836
6	Lesotho	LSO	23.8
7	Swaziland	SWZ	23.716
8	Namibia	NAM	23.266
9	Mozambique	MOZ	22.228
10	Gambia, The	GMB	21.641

Unemployment refers to the share of the labor force that is without work but available for and seeking employment.

Unemployment, total (% of total labor force) (modeled ILO estimate):SL.UEM.TOTL.ZS

	Country Name	Country Code	2016
1	Solomon Islands	SLB	31.426
2	Gambia, The	GMB	29.695
3	Lesotho	LSO	27.423
4	Macedonia, FYR	MKD	26.728
5	South Africa	ZAF	25.927
6	Bosnia and Herzegovina	BIH	25.761
7	Namibia	NAM	25.588
8	Swaziland	SWZ	25.281
9	West Bank and Gaza	PSE	24.939
10	Mozambique	MOZ	24.368

Unemployment refers to the share of the labor force that is without work but available for and seeking employment.

Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate):SL.UEM.1524.FE.ZS

	Country Name	Country Code	2016
1	Oman	OMN	81.046
2	Libya	LBY	66.027
3	Syrian Arab Republic	SYR	65.997
4	Bosnia and Herzegovina	BIH	65.654
5	Iraq	IRQ	64.59
6	Saudi Arabia	SAU	58.113
7	South Africa	ZAF	57.307
8	Jordan	JOR	56.145
9	French Polynesia	PYF	56.045
10	Namibia	NAM	55.596

Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.

Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate):SL.UEM.1524.MA.ZS

	Country Name	Country Code	2016
1	Bosnia and Herzegovina	BIH	68.604
2	Swaziland	SWZ	51.55
3	Macedonia, FYR	MKD	50.9
4	South Africa	ZAF	48.383
5	French Polynesia	PYF	47.262
6	Solomon Islands	SLB	45.392
7	Namibia	NAM	45.07
8	Greece	GRC	42.611
9	Spain	ESP	42.585
10	Mozambique	MOZ	42.192

Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.

Unemployment, youth total (% of total labor force ages 15-24) (modeled ILO estimate):SL.UEM.1524.ZS

	Country Name	Country Code	2016
1	Bosnia and Herzegovina	BIH	67.609
2	Swaziland	SWZ	52.847
3	South Africa	ZAF	52.288
4	French Polynesia	PYF	50.775
5	Oman	OMN	50.767
6	Namibia	NAM	49.885
7	Macedonia, FYR	MKD	49.504
8	Greece	GRC	48.177
9	Libya	LBY	48.124
10	Solomon Islands	SLB	47.528

Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment.

Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient):IQ.WEF.CUST.XQ

	Country Name	Country Code	2016
1	Hong Kong SAR, China	HKG	6.2
2	Singapore	SGP	6.2
3	United Arab Emirates	ARE	6
4	Finland	FIN	5.9
5	New Zealand	NZL	5.9
6	Ireland	IRL	5.7
7	Luxembourg	LUX	5.6
8	Georgia	GEO	5.5
9	Netherlands	NLD	5.5
10	Qatar	QAT	5.4

Burden of Customs Procedure measures business executives’ perceptions of their country’s efficiency of customs procedures. The rating ranges from 1 to 7, with a higher score indicating greater efficiency. Data are from the World Economic Forum’s Executive Opinion Survey, conducted for 30 years in collaboration with 150 partner institutes. The 2009 round included more than 13,000 respondents from 133 countries. Sampling follows a dual stratification based on company size and the sector of activity. Data are collected online or through in-person interviews. Responses are aggregated using sector-weighted averaging. The data for the latest year are combined with the data for the previous year to create a two-year moving average. Respondents evaluated the efficiency of customs procedures in their country. The lowest score (1) rates the customs procedure as extremely inefficient, and the highest score (7) as extremely efficient.

Interest payments on external debt, private nonguaranteed (PNG) (INT, current US$):DT.INT.DPNG.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	93,555,124,000
2	Middle income	MIC	93,394,471,000
3	Upper middle income	UMC	72,466,243,000
4	Europe & Central Asia (excluding high income)	ECA	32,364,496,000
5	Latin America & Caribbean (excluding high income)	LAC	28,579,521,000
6	Lower middle income	LMC	20,928,228,000
7	East Asia & Pacific (excluding high income)	EAP	19,357,597,000
8	Brazil	BRA	13,164,674,000
9	South Asia	SAS	11,144,010,000
10	China	CHN	10,688,661,000

Private nonguaranteed external debt is an external obligation of a private debtor that is not guaranteed for repayment by a public entity. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents and repayable in currency, goods, or services. Data are in current U.S. dollars.

Liner shipping connectivity index (maximum value in 2004 = 100):IS.SHP.GCNW.XQ

	Country Name	Country Code	2016
1	China	CHN	167.48
2	Singapore	SGP	122.7
3	Korea, Rep.	KOR	115.61
4	Malaysia	MYS	106.79
5	Hong Kong SAR, China	HKG	101.02
6	United States	USA	98.7
7	Germany	DEU	97.75
8	United Kingdom	GBR	97.23
9	Netherlands	NLD	95.73
10	Belgium	BEL	88.64

The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: number of ships, their container-carrying capacity, maximum vessel size, number of services, and number of companies that deploy container ships in a country’s ports. For each component a country’s value is divided by the maximum value of each component in 2004, the five components are averaged for each country, and the average is divided by the maximum average for 2004 and multiplied by 100. The index generates a value of 100 for the country with the highest average index in 2004. . The underlying data come from Containerisation International Online.

PPG, bonds (INT, current US$):DT.INT.PBND.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	40,149,940,000
2	Middle income	MIC	39,935,542,000
3	Upper middle income	UMC	30,214,966,000
4	Latin America & Caribbean (excluding high income)	LAC	18,721,181,000
5	Lower middle income	LMC	9,720,576,000
6	Europe & Central Asia (excluding high income)	ECA	7,478,502,000
7	East Asia & Pacific (excluding high income)	EAP	6,593,525,000
8	Mexico	MEX	5,691,181,000
9	Indonesia	IDN	4,508,980,000
10	Sub-Saharan Africa (excluding high income)	SSA	3,940,504,000

Public and publicly guaranteed debt from bonds that are either publicly issued or privately placed. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, commercial banks (AMT, current US$):DT.AMT.PCBK.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	57,799,854,000
2	Middle income	MIC	57,109,753,000
3	Upper middle income	UMC	47,076,402,000
4	Europe & Central Asia (excluding high income)	ECA	28,711,676,000
5	Russian Federation	RUS	24,830,218,000
6	Latin America & Caribbean (excluding high income)	LAC	10,667,693,000
7	Lower middle income	LMC	10,033,351,000
8	East Asia & Pacific (excluding high income)	EAP	7,651,568,000
9	South Asia	SAS	6,782,557,000
10	India	IND	6,442,625,000

Public and publicly guaranteed commercial bank loans from private banks and other private financial institutions. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, commercial banks (DIS, current US$):DT.DIS.PCBK.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	195,278,921,000
2	Middle income	MIC	194,856,730,000
3	Lower middle income	LMC	180,163,747,000
4	South Asia	SAS	176,664,076,000
5	Pakistan	PAK	175,577,158,000
6	Upper middle income	UMC	14,692,983,000
7	Latin America & Caribbean (excluding high income)	LAC	9,785,813,000
8	Argentina	ARG	4,141,566,000
9	Europe & Central Asia (excluding high income)	ECA	3,727,703,000
10	Brazil	BRA	3,373,844,000

Public and publicly guaranteed commercial bank loans from private banks and other private financial institutions. Disbursements are drawings by the borrower on loan commitments during the year specified. Data are in current U.S. dollars.

PPG, commercial banks (INT, current US$):DT.INT.PCBK.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	8,852,681,000
2	Middle income	MIC	8,779,173,000
3	Upper middle income	UMC	5,960,703,000
4	Europe & Central Asia (excluding high income)	ECA	3,534,148,000
5	Russian Federation	RUS	3,259,260,000
6	Lower middle income	LMC	2,818,470,000
7	Latin America & Caribbean (excluding high income)	LAC	2,416,982,000
8	South Asia	SAS	2,367,757,000
9	Pakistan	PAK	2,053,090,000
10	Brazil	BRA	1,424,254,000

Public and publicly guaranteed commercial bank loans from private banks and other private financial institutions. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, other private creditors (AMT, current US$):DT.AMT.PROP.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	6,319,170,000
2	Middle income	MIC	6,010,460,000
3	East Asia & Pacific (excluding high income)	EAP	4,171,763,000
4	Lower middle income	LMC	3,694,414,000
5	Indonesia	IDN	3,224,941,000
6	Upper middle income	UMC	2,316,046,000
7	China	CHN	899,705,000
8	Latin America & Caribbean (excluding high income)	LAC	877,802,000
9	Sub-Saharan Africa (excluding high income)	SSA	837,023,000
10	Colombia	COL	471,698,000

Public and publicly guaranteed other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, other private creditors (DIS, current US$):DT.DIS.PROP.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	4,806,289,000
2	Middle income	MIC	4,090,269,000
3	Lower middle income	LMC	3,503,938,000
4	East Asia & Pacific (excluding high income)	EAP	2,913,402,000
5	Indonesia	IDN	2,837,115,000
6	Sub-Saharan Africa (excluding high income)	SSA	1,391,446,000
7	IDA only	IDX	1,253,419,000
8	Low income	LIC	716,020,000
9	Ethiopia	ETH	710,757,000
10	Upper middle income	UMC	586,331,000

Public and publicly guaranteed other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Disbursements are drawings by the borrower on loan commitments during the year specified. Data are in current U.S. dollars.

PPG, other private creditors (INT, current US$):DT.INT.PROP.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	380,931,000
2	Middle income	MIC	340,967,000
3	Upper middle income	UMC	280,121,000
4	Latin America & Caribbean (excluding high income)	LAC	245,962,000
5	Brazil	BRA	146,491,000
6	Mexico	MEX	87,145,000
7	Sub-Saharan Africa (excluding high income)	SSA	77,065,000
8	IDA only	IDX	75,192,000
9	Lower middle income	LMC	60,846,000
10	Low income	LIC	39,964,000

Public and publicly guaranteed other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, private creditors (AMT, current US$):DT.AMT.PRVT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	100,548,553,000
2	Middle income	MIC	99,549,742,000
3	Upper middle income	UMC	81,519,947,000
4	Europe & Central Asia (excluding high income)	ECA	35,368,607,000
5	Latin America & Caribbean (excluding high income)	LAC	27,866,878,000
6	Russian Federation	RUS	25,115,880,000
7	East Asia & Pacific (excluding high income)	EAP	19,153,903,000
8	Lower middle income	LMC	18,029,795,000
9	Mexico	MEX	14,587,385,000
10	South Asia	SAS	8,634,070,000

Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

PPG, private creditors (DIS, current US$):DT.DIS.PRVT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	205,752,493,000
2	Middle income	MIC	204,614,282,000
3	Lower middle income	LMC	185,138,557,000
4	South Asia	SAS	177,669,567,000
5	Pakistan	PAK	175,577,158,000
6	Upper middle income	UMC	19,475,725,000
7	Latin America & Caribbean (excluding high income)	LAC	12,664,793,000
8	Argentina	ARG	5,944,401,000
9	Europe & Central Asia (excluding high income)	ECA	5,832,671,000
10	Sub-Saharan Africa (excluding high income)	SSA	4,434,488,000

Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Disbursements are drawings by the borrower on loan commitments during the year specified. Data are in current U.S. dollars.

PPG, private creditors (INT, current US$):DT.INT.PRVT.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	49,383,552,000
2	Middle income	MIC	49,055,682,000
3	Upper middle income	UMC	36,455,790,000
4	Latin America & Caribbean (excluding high income)	LAC	21,384,125,000
5	Lower middle income	LMC	12,599,892,000
6	Europe & Central Asia (excluding high income)	ECA	11,027,905,000
7	East Asia & Pacific (excluding high income)	EAP	6,797,561,000
8	Mexico	MEX	6,350,333,000
9	Indonesia	IDN	4,590,636,000
10	Brazil	BRA	4,275,609,000

Public and publicly guaranteed debt from private creditors include bonds that are either publicly issued or privately placed; commercial bank loans from private banks and other private financial institutions; and other private credits from manufacturers, exporters, and other suppliers of goods, and bank credits covered by a guarantee of an export credit agency. Interest payments are actual amounts of interest paid by the borrower in currency, goods, or services in the year specified. Data are in current U.S. dollars.

Principal repayments on external debt, private nonguaranteed (PNG) (AMT, current US$):DT.AMT.DPNG.CD

	Country Name	Country Code	2016
1	Low & middle income	LMY	386,417,199,000
2	Middle income	MIC	385,419,628,000
3	Upper middle income	UMC	313,884,280,000
4	Europe & Central Asia (excluding high income)	ECA	154,139,912,000
5	Latin America & Caribbean (excluding high income)	LAC	131,493,826,000
6	Brazil	BRA	77,952,768,000
7	Lower middle income	LMC	71,535,348,000
8	East Asia & Pacific (excluding high income)	EAP	61,708,675,000
9	Turkey	TUR	45,998,979,000
10	Kazakhstan	KAZ	34,012,731,000

Private nonguaranteed external debt is an external obligation of a private debtor that is not guaranteed for repayment by a public entity. Principal repayments are actual amounts of principal (amortization) paid by the borrower in currency, goods, or services in the year specified. Long-term external debt is defined as debt that has an original or extended maturity of more than one year and that is owed to nonresidents by residents of an economy and repayable in currency, goods, or services. Data are in current U.S. dollars.

Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards):IQ.WEF.PORT.XQ

	Country Name	Country Code	2016
1	Netherlands	NLD	6.8
2	Singapore	SGP	6.7
3	United Arab Emirates	ARE	6.5
4	Finland	FIN	6.4
5	Hong Kong SAR, China	HKG	6.4
6	Belgium	BEL	6.3
7	Panama	PAN	6.3
8	Iceland	ISL	6
9	Denmark	DNK	5.8
10	Spain	ESP	5.7

The Quality of Port Infrastructure measures business executives’ perception of their country’s port facilities. Data are from the World Economic Forum’s Executive Opinion Survey, conducted for 30 years in collaboration with 150 partner institutes. The 2009 round included more than 13,000 respondents from 133 countries. Sampling follows a dual stratification based on company size and the sector of activity. Data are collected online or through in-person interviews. Responses are aggregated using sector-weighted averaging. The data for the latest year are combined with the data for the previous year to create a two-year moving average. Scores range from 1 (port infrastructure considered extremely underdeveloped) to 7 (port infrastructure considered efficient by international standards). Respondents in landlocked countries were asked how accessible are port facilities (1 = extremely inaccessible; 7 = extremely accessible).

Deposit interest rate (%):FR.INR.DPST

	Country Name	Country Code	2016
1	Argentina	ARG	24.27999
2	Venezuela, RB	VEN	15.085
3	Turkey	TUR	14.61
4	Mongolia	MNG	13.2717
5	Uganda	UGA	13.2388
6	Brazil	BRA	12.44576
7	Armenia	ARM	11.61566
8	Ukraine	UKR	11.48576
9	Mozambique	MOZ	10.75077
10	Moldova	MDA	10.72602

Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.

Interest rate spread (lending rate minus deposit rate, %):FR.INR.LNDP

	Country Name	Country Code	2016
1	Brazil	BRA	39.7709
2	Kyrgyz Republic	KGZ	19.9297
3	Sao Tome and Principe	STP	15.45083
4	Timor-Leste	TLS	13.46544
5	Guyana	GUY	11.83333
6	Uruguay	URY	10.60452
7	Lesotho	LSO	10.46917
8	Mozambique	MOZ	10.39703
9	Nicaragua	NIC	10.33603
10	Bhutan	BTN	10.15

Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.

Lead time to export, median case (days):LP.EXP.DURS.MD

	Country Name	Country Code	2016
1	Iraq	IRQ	39
2	Moldova	MDA	25
3	Chad	TCD	22
4	Uzbekistan	UZB	18
5	Angola	AGO	14
6	Mauritania	MRT	13
7	Bolivia	BOL	12
8	Congo, Rep.	COG	12
9	Libya	LBY	11
10	Sudan	SDN	11

Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case.

Lead time to import, median case (days):LP.IMP.DURS.MD

	Country Name	Country Code	2016
1	Mauritania	MRT	32
2	Moldova	MDA	32
3	Chad	TCD	24
4	Uzbekistan	UZB	20
5	Burundi	BDI	15
6	Angola	AGO	14
7	Bolivia	BOL	13
8	Congo, Rep.	COG	12
9	Niger	NER	12
10	Sudan	SDN	12

Lead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) and the median case (50 percent of shipments). The data are exponentiated averages of the logarithm of single value responses and of midpoint values of range responses for the median case.

Real effective exchange rate index (2010 = 100):PX.REX.REER

	Country Name	Country Code	2016
1	Venezuela, RB	VEN	721.3399
2	Central African Republic	CAF	220.3097
3	Bolivia	BOL	150.2424
4	Solomon Islands	SLB	133.2854
5	Congo, Dem. Rep.	COD	132.3602
6	Trinidad and Tobago	TTO	128.9567
7	Iceland	ISL	128.7916
8	Sierra Leone	SLE	128.4656
9	China	CHN	124.1864
10	Papua New Guinea	PNG	123.4641

Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs.

Risk premium on lending (lending rate minus treasury bill rate, %):FR.INR.RISK

	Country Name	Country Code	2016
1	Brazil	BRA	38.754558
2	Guyana	GUY	11.147833
3	Belize	BLZ	9.805407
4	Armenia	ARM	7.525504
5	Maldives	MDV	7.264707
6	Bangladesh	BGD	7.020242
7	Kosovo	XKX	7.01069
8	Algeria	DZA	6.805
9	Nigeria	NGA	6.752731
10	Mozambique	MOZ	6.049458

Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the risk free" treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this spread may be negative

Compulsory education, duration (years):SE.COM.DURS

	Country Name	Country Code	2016
1	Ecuador	ECU	15
2	Venezuela, RB	VEN	15
3	Bolivia	BOL	14
4	Brazil	BRA	14
5	Curacao	CUW	14
6	Mexico	MEX	14
7	Sint Maarten (Dutch part)	SXM	14
8	Uruguay	URY	14
9	Argentina	ARG	13
10	Aruba	ABW	13

Duration of compulsory education is the number of years that children are legally obliged to attend school.

International tourism, number of arrivals:ST.INT.ARVL

	Country Name	Country Code	2016
1	Germany	DEU	35,555,000
2	Thailand	THA	32,588,000
3	Hong Kong SAR, China	HKG	26,553,000
4	Korea, Rep.	KOR	17,242,000
5	Macao SAR, China	MAC	15,703,600
6	Ukraine	UKR	13,333,000
7	Vietnam	VNM	10,013,000
8	Czech Republic	CZE	9,288,000
9	Georgia	GEO	6,351,000
10	Philippines	PHL	5,967,000

International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.

Arms exports (SIPRI trend indicator values):MS.MIL.XPRT.KD

	Country Name	Country Code	2016
1	OECD members	OED	21,412,000,000
2	High income	HIC	21,205,000,000
3	Post-demographic dividend	PST	20,531,000,000
4	Europe & Central Asia	ECS	16,584,000,000
5	North America	NAC	10,021,000,000
6	United States	USA	9,894,000,000
7	IDA & IBRD total	IBT	9,850,000,000
8	Low & middle income	LMY	9,847,000,000
9	Middle income	MIC	9,847,000,000
10	IBRD only	IBD	9,781,000,000

Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed for military use. Excluded are transfers of other military equipment such as small arms and light weapons, trucks, small artillery, ammunition, support equipment, technology transfers, and other services.

Average time to clear exports through customs (days):IC.CUS.DURS.EX

	Country Name	Country Code	2016
1	Cote d’Ivoire	CIV	19.6
2	Benin	BEN	17.9
3	Mali	MLI	16.5
4	Heavily indebted poor countries (HIPC)	HPC	11.478261
5	Pre-demographic dividend	PRE	11.461905
6	Low income	LIC	10.49375
7	Sub-Saharan Africa	SSF	10.292308
8	Sub-Saharan Africa (excluding high income)	SSA	10.292308
9	Sub-Saharan Africa (IDA & IBRD countries)	TSS	10.292308
10	Least developed countries: UN classification	LDC	9.842857

Average time to clear exports through customs is the average number of days to clear direct exports through customs.

Bribery incidence (% of firms experiencing at least one bribe payment request):IC.FRM.BRIB.ZS

	Country Name	Country Code	2016
1	Cambodia	KHM	64.7
2	Pacific island small states	PSS	43.8
3	Mali	MLI	33.7
4	East Asia & Pacific	EAS	30.41538
5	East Asia & Pacific (excluding high income)	EAP	30.41538
6	East Asia & Pacific (IDA & IBRD countries)	TEA	30.41538
7	Fragile and conflict affected situations	FCS	30.045
8	Least developed countries: UN classification	LDC	28.67742
9	Pre-demographic dividend	PRE	28.29583
10	Cameroon	CMR	26.7

Bribery incidence is the percentage of firms experiencing at least one bribe payment request across 6 public transactions dealing with utilities access, permits, licenses, and taxes.

Delay in obtaining an electrical connection (days):IC.ELC.DURS

	Country Name	Country Code	2016
1	Benin	BEN	193.2
2	Togo	TGO	71.9
3	South Asia	SAS	55.1
4	South Asia (IDA & IBRD)	TSA	55.1
5	Low income	LIC	51.31111
6	Heavily indebted poor countries (HIPC)	HPC	44.408
7	IDA only	IDX	42.71892
8	Least developed countries: UN classification	LDC	41.76
9	Central Europe and the Baltics	CEB	41.5
10	European Union	EUU	40.06667

Delay in obtaining an electrical connection is the average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service.

Firms competing against unregistered firms (% of firms):IC.FRM.CMPU.ZS

	Country Name	Country Code	2016
1	Cameroon	CMR	80.3
2	Mali	MLI	79.5
3	Cambodia	KHM	77.8
4	Lao PDR	LAO	77.2
5	Guinea	GIN	75.7
6	Cote d’Ivoire	CIV	75.6
7	Swaziland	SWZ	73.5
8	Heavily indebted poor countries (HIPC)	HPC	69.388
9	Togo	TGO	68.7
10	Pre-demographic dividend	PRE	68.41667

Firms competing against unregistered firms are the percentage of firms competing against unregistered or informal firms.

Firms expected to give gifts in meetings with tax officials (% of firms):IC.TAX.GIFT.ZS

	Country Name	Country Code	2016
1	Cambodia	KHM	58.7
2	Mali	MLI	32.1
3	Pacific island small states	PSS	30.9
4	Cote d’Ivoire	CIV	22.9
5	Fragile and conflict affected situations	FCS	22.65
6	Least developed countries: UN classification	LDC	21.8
7	East Asia & Pacific	EAS	21.6
8	East Asia & Pacific (excluding high income)	EAP	21.6
9	East Asia & Pacific (IDA & IBRD countries)	TEA	21.6
10	Middle East & North Africa (IDA & IBRD countries)	TMN	20.9

Firms expected to give gifts in meetings with tax officials is the percentage of firms that answered positively to the question “was a gift or informal payment expected or requested during a meeting with tax officials?”

Firms formally registered when operations started (% of firms):IC.FRM.FREG.ZS

	Country Name	Country Code	2016
1	Euro area	EMU	99.08
2	Europe & Central Asia	ECS	97.99655
3	Central Europe and the Baltics	CEB	97.90909
4	European Union	EUU	97.90909
5	Europe & Central Asia (excluding high income)	ECA	97.885
6	Europe & Central Asia (IDA & IBRD countries)	TEC	97.81818
7	Guinea	GIN	96.9
8	Lao PDR	LAO	96.3
9	Post-demographic dividend	PST	96.23636
10	OECD members	OED	96.14545

Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country.

Firms offering formal training (% of firms):IC.FRM.TRNG.ZS

	Country Name	Country Code	2016
1	El Salvador	SLV	53.8
2	Latin America & Caribbean (excluding high income)	LAC	44.11304
3	Latin America & the Caribbean (IDA & IBRD countries)	TLA	43.68214
4	Latin America & Caribbean	LCN	43.19
5	Pacific island small states	PSS	42
6	Post-demographic dividend	PST	41.93333
7	European Union	EUU	41.325
8	OECD members	OED	39.70833
9	High income	HIC	39.56667
10	Central Europe and the Baltics	CEB	38.69091

Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees.

Firms using banks to finance investment (% of firms):IC.FRM.BNKS.ZS

	Country Name	Country Code	2016
1	Mali	MLI	55.1
2	Lesotho	LSO	51.8
3	Caribbean small states	CSS	41.26154
4	Small states	SST	36.59565
5	Latin America & the Caribbean (IDA & IBRD countries)	TLA	33.05714
6	Latin America & Caribbean	LCN	32.85667
7	Latin America & Caribbean (excluding high income)	LAC	31.93913
8	High income	HIC	31.46111
9	Post-demographic dividend	PST	31.18333
10	Other small states	OSS	31.07778

Firms using banks to finance investment are the percentage of firms using banks to finance investments.

Firms using banks to finance working capital (% of firms):IC.FRM.BKWC.ZS

	Country Name	Country Code	2016
1	Mali	MLI	51.7
2	Caribbean small states	CSS	49.72308
3	Latin America & the Caribbean (IDA & IBRD countries)	TLA	42.67143
4	Latin America & Caribbean	LCN	42.06667
5	Latin America & Caribbean (excluding high income)	LAC	41.35652
6	Small states	SST	41.15217
7	Togo	TGO	40.3
8	Late-demographic dividend	LTE	36.39429
9	Upper middle income	UMC	36.375
10	High income	HIC	36.11667

Firms using banks to finance working capital are the percentage of firms using bank loans to finance working capital.

Firms with female participation in ownership (% of firms):IC.FRM.FEMO.ZS

	Country Name	Country Code	2016
1	Thailand	THA	64.4
2	Pacific island small states	PSS	47.4
3	East Asia & Pacific	EAS	46.85385
4	East Asia & Pacific (excluding high income)	EAP	46.85385
5	East Asia & Pacific (IDA & IBRD countries)	TEA	46.85385
6	Cambodia	KHM	46.2
7	Caribbean small states	CSS	44.43077
8	Lao PDR	LAO	43.1
9	Small states	SST	42.87391
10	IDA blend	IDB	42.125

Firms with female participation in ownership are the percentage of firms with a woman among the principal owners.

Firms with female top manager (% of firms):IC.FRM.FEMM.ZS

	Country Name	Country Code	2016
1	Thailand	THA	64.8
2	Cambodia	KHM	57.3
3	Lao PDR	LAO	45.3
4	Lesotho	LSO	36.2
5	East Asia & Pacific	EAS	31.85385
6	East Asia & Pacific (excluding high income)	EAP	31.85385
7	East Asia & Pacific (IDA & IBRD countries)	TEA	31.85385
8	El Salvador	SLV	28
9	Swaziland	SWZ	27.4
10	Benin	BEN	25.9

Firms with female top manager refers to the percentage of firms in the private sector who have females as top managers. Top manager refers to the highest ranking manager or CEO of the establishment. This person may be the owner if he/she works as the manager of the firm. The results are based on surveys of more than 100,000 private firms.

Informal payments to public officials (% of firms):IC.FRM.CORR.ZS

	Country Name	Country Code	2016
1	Pacific island small states	PSS	81.9
2	Lao PDR	LAO	70.2
3	Cambodia	KHM	66.3
4	East Asia & Pacific	EAS	52.93846
5	East Asia & Pacific (excluding high income)	EAP	52.93846
6	East Asia & Pacific (IDA & IBRD countries)	TEA	52.93846
7	Guinea	GIN	48.7
8	Cameroon	CMR	45.6
9	Mali	MLI	43.9
10	Fragile and conflict affected situations	FCS	34.085

Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to get things done" with regard to customs

Internationally-recognized quality certification (% of firms):IC.FRM.ISOC.ZS

	Country Name	Country Code	2016
1	OECD members	OED	32.25833
2	European Union	EUU	31.28333
3	Central Europe and the Baltics	CEB	30.57273
4	Euro area	EMU	26.34
5	High income	HIC	25.95
6	Post-demographic dividend	PST	25.075
7	Europe & Central Asia	ECS	24.72
8	Europe & Central Asia (IDA & IBRD countries)	TEC	21.86818
9	Europe & Central Asia (excluding high income)	ECA	21.195
10	Late-demographic dividend	LTE	20.34

Internationally-recognized quality certification is the percentage of firms having an internationally-recognized quality certification, i.e., International Organization for Standardization (ISO) 9000, 9002 or 14000.

Listed domestic companies, total:CM.MKT.LDOM.NO

	Country Name	Country Code	2016
1	World	WLD	43,192
2	High income	HIC	27,196
3	Post-demographic dividend	PST	23,695
4	OECD members	OED	23,025

World Development Indicators(Source:The World Bank Group)

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Arms imports (SIPRI trend indicator values):MS.MIL.MPRT.KD

Bank capital to assets ratio (%):FB.BNK.CAPA.ZS

Bank nonperforming loans to total gross loans (%):FB.AST.NPER.ZS

Bird species, threatened:EN.BIR.THRD.NO

Broad money (current LCU):FM.LBL.BMNY.CN

Broad money growth (annual %):FM.LBL.BMNY.ZG

Business extent of disclosure index (0=less disclosure to 10=more disclosure):IC.BUS.DISC.XQ

Claims on central government (annual growth as % of broad money):FM.AST.CGOV.ZG.M3

Claims on other sectors of the domestic economy (annual growth as % of broad money):FM.AST.DOMO.ZG.M3

Claims on private sector (annual growth as % of broad money):FM.AST.PRVT.ZG.M3

Consumer price index (2010 = 100):FP.CPI.TOTL

Cost of business start-up procedures (% of GNI per capita):IC.REG.COST.PC.ZS

Cost of business start-up procedures, female (% of GNI per capita):IC.REG.COST.PC.FE.ZS

Cost of business start-up procedures, male (% of GNI per capita):IC.REG.COST.PC.MA.ZS

Cost to export, border compliance (US$):IC.EXP.CSBC.CD

Cost to export, documentary compliance (US$):IC.EXP.CSDC.CD

Cost to import, border compliance (US$):IC.IMP.CSBC.CD

Cost to import, documentary compliance (US$):IC.IMP.CSDC.CD

Depth of credit information index (0=low to 8=high):IC.CRD.INFO.XQ

Depth of the food deficit (kilocalories per person per day):SN.ITK.DFCT

Disbursements on external debt, long-term (DIS, current US$):DT.DIS.DLXF.CD

Distance to frontier score (0=lowest performance to 100=frontier):IC.BUS.DFRN.XQ

Ease of doing business index (1=most business-friendly regulations):IC.BUS.EASE.XQ

Employment to population ratio, 15+, female (%) (modeled ILO estimate):SL.EMP.TOTL.SP.FE.ZS

Employment to population ratio, 15+, male (%) (modeled ILO estimate):SL.EMP.TOTL.SP.MA.ZS

Employment to population ratio, 15+, total (%) (modeled ILO estimate):SL.EMP.TOTL.SP.ZS

Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate):SL.EMP.1524.SP.FE.ZS

Employment to population ratio, ages 15-24, male (%) (modeled ILO estimate):SL.EMP.1524.SP.MA.ZS

Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate):SL.EMP.1524.SP.ZS

Fish species, threatened:EN.FSH.THRD.NO

GDP per person employed (constant 2011 PPP $):SL.GDP.PCAP.EM.KD

Inflation, consumer prices (annual %):FP.CPI.TOTL.ZG

Interest payments on external debt, long-term (INT, current US$):DT.INT.DLXF.CD

Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate):SL.TLF.ACTI.1524.FE.ZS

Labor force participation rate for ages 15-24, male (%) (modeled ILO estimate):SL.TLF.ACTI.1524.MA.ZS

Labor force participation rate for ages 15-24, total (%) (modeled ILO estimate):SL.TLF.ACTI.1524.ZS

Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate):SL.TLF.CACT.FE.ZS

Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate):SL.TLF.CACT.MA.ZS

Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate):SL.TLF.CACT.ZS

Labor force, female (% of total labor force):SL.TLF.TOTL.FE.ZS

Labor force, total:SL.TLF.TOTL.IN

Labor tax and contributions (% of commercial profits):IC.TAX.LABR.CP.ZS

Land area (sq. km):AG.LND.TOTL.K2

Lending interest rate (%):FR.INR.LEND

Logistics performance index: Ability to track and trace consignments (1=low to 5=high):LP.LPI.TRAC.XQ

Logistics performance index: Competence and quality of logistics services (1=low to 5=high):LP.LPI.LOGS.XQ

Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high):LP.LPI.ITRN.XQ

Logistics performance index: Efficiency of customs clearance process (1=low to 5=high):LP.LPI.CUST.XQ

Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high):LP.LPI.TIME.XQ

Logistics performance index: Overall (1=low to 5=high):LP.LPI.OVRL.XQ

Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high):LP.LPI.INFR.XQ

Lower secondary school starting age (years):SE.SEC.AGES

Mammal species, threatened:EN.MAM.THRD.NO

Methodology assessment of statistical capacity (scale 0 - 100):IQ.SCI.MTHD

Net domestic credit (current LCU):FM.AST.DOMS.CN

Net foreign assets (current LCU):FM.AST.NFRG.CN

Official exchange rate (LCU per US$, period average):PA.NUS.FCRF

Other taxes payable by businesses (% of commercial profits):IC.TAX.OTHR.CP.ZS

Overall level of statistical capacity (scale 0 - 100):IQ.SCI.OVRL

Periodicity and timeliness assessment of statistical capacity (scale 0 - 100):IQ.SCI.PRDC

Plant species (higher), threatened:EN.HPT.THRD.NO

PPG, bilateral (AMT, current US$):DT.AMT.BLAT.CD

PPG, bilateral (DIS, current US$):DT.DIS.BLAT.CD

PPG, bilateral (INT, current US$):DT.INT.BLAT.CD

PPG, multilateral (AMT, current US$):DT.AMT.MLAT.CD

PPG, multilateral (DIS, current US$):DT.DIS.MLAT.CD

PPG, multilateral (INT, current US$):DT.INT.MLAT.CD

PPG, official creditors (AMT, current US$):DT.AMT.OFFT.CD

PPG, official creditors (DIS, current US$):DT.DIS.OFFT.CD

PPG, official creditors (INT, current US$):DT.INT.OFFT.CD

Preprimary education, duration (years):SE.PRE.DURS

Presence of peace keepers (number of troops, police, and military observers in mandate):VC.PKP.TOTL.UN

Primary education, duration (years):SE.PRM.DURS

Primary school starting age (years):SE.PRM.AGES

Principal repayments on external debt, long-term (AMT, current US$):DT.AMT.DLXF.CD

Private credit bureau coverage (% of adults):IC.CRD.PRVT.ZS

Procedures to build a warehouse (number):IC.WRH.PROC