Country	Country Name	Year	GNI per Capita, Atlas Method	Source of MSME Data	Income Group	MSME Definitions (number of employees, unless  otherwise noted)a			Structure of the MSME Sector (% of all MSMEs)			MSME Participation in the Economy
						Micro	Small	Medium	Micro	Small	Medium	MSMEs	MSMEs per 1,000 people	MSME employment (% total)
ALB	Albania	2004	2120	INSTAT	Lower middle	1-4	5-19	20-49	91.3	7.2	1.5	38,331	12.3	44.4
ANT	Netherlands Antilles	1998		CBSAN	High	0-4	5-9	10-49	63.2	10.5	26.2	6,496	36.3	67.5
ARE	United Arab Emirates	1995	19420	HSBC	High	0-9	10-49	50-499	88.0	9.7	2.2	82,440	34.2	86.0
ARG	Argentina	1999	7570	IAMC	Upper middle				n/a	n/a	n/a	894,169	24.5	80.6
ARM	Armenia	2005	1470	SMEDNC	Lower middle	0-4	5-49	50-100	79.1	16.6	4.3	99,805	33.1	34.0
ASM	American Samoao	2002		USCB	Upper middle	0-4	5-19	n/a	77.8	22.2	n/a	995e		23.0
AUS	Australia	2004	27070	ABS	High	0-4	5-19	20-199	89.1	10.9	n/a	1,269,000e	63.1
AUT	Austria	2004	32280	AISRn	High	1-9	10-49	50-249	86.4	11.8	1.8	252,399	31.1	65.3
AZE	Azerbaijan	2003	820	UNECE	Lower middle	<250			100.0			49,527	6.0	5.0
BEL	Belgium	2003	25870	STATBEL	High	0-9	10-49	50-199	95.9	3.5	0.6	686,533	42.2	69.3
BGD	Bangladesh	2004	440	SEDF	Low	<50		51-99	84.7		15.3	177,000	1.3	80-85k
BGR	Bulgaria	2003	2120	MEE	Lower middle	0-9	10-49	50-249	90.4	8.0	1.5	216,489	27.7	79.0
BIH	Bosnia and Herzegovina	2003	1610	UNECEac	Lower middle	0-9	10-49	50-249	83.7	11.0	5.3	14,986	3.8	52.9
BLR	Belarus	2002	1380	UNECE	Lower middle	0-9	10-49	50-249	70.4	29.6	0.0	25,108	2.5	14.6
BLZ	Belize	1993	2690	IFC	Upper middle	Sale Revenue <$250,000 per annum		n/a	17000.0		n/a	17,000	82.9	32.0
BMU	Bermudao	2004		BGDS	High	1-4	5-9	10-49	78.0	12.7	9.2	4,519	70.6
BOL	Bolivia	1995	860	FUNDES	Lower middle	0-10	11-19	20-49	99.7	0.2	0.1	501,333	67.0
BRA	Brazil	2002	2790	IADB	Lower middle	0-9	10-49	50-99	93.9	5.6	0.5	4,903,268	27.4	67.0
BRN	Brunei	1994		ACTET	HIgh	1-5	6-50	51-100	43.0	53.0	4.0			92.0
BWA	Botswana	2005	5180	BCSO	Upper middle	0-4f	5-49	50-99	45.6	51.2	3.1	13,137	7.4
CAN	Canada	2005	32600	INDCA	High	0-4	5-99	100-499	79.8	19.2	1.0	2,245,245	69.6	64.2
CHE	Switzerland	2003	41900	EC	High	0-9	10-49	50-249	89.0	9.3	1.7	344,000	46.7	75.3
CHL	Chile	2004	5220	BCz	Upper middle	t <$75,000	t = $75,000-$750,000	t >$750,000	81.5	15.1	2.4	700,000	43.9	95.0
CHN	China	2000	930	APECg	Lower middle	n/a	n/a	n/a	n/a	n/a	n/a	8,000,000	6.3	78.0
COL	Colombia	2003	1850	DANE	Lower middle	1-9	n/a	n/a	100.0	n/a	n/a	664,000
CRI	Costa Rica	2004	4470	INEC	Upper middle	1-5	6-30	31-100	82.2	15.7	2.2	40,921	10.1
CYP	Cyprus	2005	16510	CYSTAT	High	0-9	10-49	50-249	94.2	5.0	0.8	66,918	80.1	73.1
CZE	Czech Republic	2006		CZSO	Upper middle	0-5	6-19	20-249	96.3	2.4	1.3	2,405,290	n/a
DEU	Germany	2005	34580	FSO	High	0-9	10-49	50-249	91.1	7.3	1.5	3,162,111	38.3
DNK	Denmarko	2004	40750	SBDK	High	0-9	10-19	20-99	93.0	4.0	3.0	257,950	47.7	55.0
DOM	Dominican Republic	1999	1970	IADB	Lower middle	1-10	11-50	51-100	97.1	2.4	0.5	355,175	43.2	75.4
DZA	Algeria	2001	1660	NAED	Lower middle	< 250						580,000	18.8
ECU	Ecuador	2001	1380	IADB	Lower middle	0-10	n/a	n/a	100.0	n/a	n/a	1,043,440	83.6
EGY	Egypt	1998	1240	UNCDF	Lower middle	1-4	5-14	15-49	92.7	6.1	0.9	1,649,794	26.8	73.5
ESP	Spain	2005	25360	INE	High	0-9	10-49	50-199	94.1	5.2	0.7	3,168,735	73.0
EST	Estonia	2005	9100	SE	Upper middle	0-9	10-49	50-249	88.0	10.0	2.0	65,194	48.5
FIN	Finland	2003	26970	EC	High	0-9	10-49	50-249	93.7	5.4	0.9	221,000	42.4	59.2
FRA	France	2004	30370	INSEE	High	0-9	10-49	50-249	93.3	5.8	0.9	2,612,960	43.3
GBR	United Kingdom	2004	33630	SBS	High	0-9	10-49	50-249	95.4	3.9	0.7	4,415,260	73.8	39.6
GEO	Georgia	2005	1350	SGE	Lower middle	0-19		20-99	92.0		8.0	33,860		43.0
GHA	Ghana	2004	380	IDRCx	Low	1-5	5-29	29-99	55.3	42.0	2.7	25,679	1.2	66.0
GRC	Greece	2003	13340	EC	High	0-9	10-49	50-249	97.5	2.1	0.3	771,000	72.2	74.0d
GTM	Guatemala	1999	1720	FUNDES	Lower middle	0-10	11-25	26-60	77.7	16.7	5.6	173,699	15.7	32.3
GUM	Guam	2002		USCB	High	0-4	5-19	20-49	51.1	39.4	9.6	2,757	17.3	49.0
GUY	Guyana	1998	870	IFC	Lower middle	<10		n/a	100.0		n/a	22,000	29.8	40.0
HKG	Hong Kong	2004		HKSME	High	Mfg <100, NonMfg <50						263,959	38.2	50.6
HND	Hondurase	2000	860	IADB	Lower middle	0-10	11-25	26-150	97.9	2.0	0.1	257,953	39.9
HRV	Croatia	2005	8060	CBS	Upper middle	0-9	10-49	50-249	87.4	9.8	2.8	94,088
HUN	Hungary	2006		KSH	Upper middle	0-9	10-49	50-249	97.0	2.7	0.4	1,215,789	n/a
IDN	Indonesia	2002	830	ACTETw	Lower middle	a < Rp 20 million		a = Rp 20 mil-Rp 10 bil	99.9		0.1	41,362,315	195.3
IND	India	1998	420	ICSO	Low	0-5	6-9		94.0	3.3		295,098	0.3	66.9
IRL	Ireland	2003	27430	EC	High	0-9	10-49	50-249	85.6	12.4	2.0	97,000	24.6	72.1d
IRN	Iran	1997		SYI	Lower middle	0-9	10-49	50-99	98.5	1.4	0.1	1,255,382	20.6	n/a
ISL	Iceland	2004	37920	SICE	High	0-9	10-49	50-249	92.3	6.6	1.1	25,449	87.8	76.6
ISR	Israel	2005	18620	ICBS	High	0-9	10-49	50-100	94.0	5.3	0.7	468,338	67.8
ITA	Italy	2003	21630	EC	High	0-9	10-49	50-249	95.6	4.0	0.4	4,486,000	77.8	73.0d
JAM	Jamaica	1996	2320	IADB	Lower middle	1-2	3-4	5-9				93,110	37.2	100.0
JOR	Jordan	2004	2190	DOS	Lower middle	1-4	5-19	20-99	89.3	9.0	1.7	141,327	26.8	50.0
JPN	Japan	2004	37050	SBJP	High	1-4	5-19	20-299	61.7	29.9	8.4	5,712,191	44.7	88.0
KAZ	Kazakhstan	1994	1310	UNECE	Lower middle	0-9	10-49	50-249	59.4	35.3	5.3	54,793	3.4	12.9
KEN	Kenya	2002	400	ILO	Low	0-10	11-50	n/a				2,800,000	89.3	74.2
KGZ	Kyrgyz Republic	2003	340	UNECE	Low	0-9	10-49	50-249	99.4		0.6	142,475	28.3	4.9
KOR	Korea	2004		SMBA	High	<10	10-49	50-300	89.4	7.7	2.8	2,998,223	62.4	86.5
LAO	Lao PDR	1996	390	MIH-GTZ Survey	Low	0-4	6-29	n/a	95.0	5.0	n/a	146,000	30.4	n/a
LBN	Lebanon	1996	3760	MET	Upper middle	0-9	10-49	50-99	96.9	2.9	0.3	192,569	47.2
LKA	Sri Lankao	2003	930	DCS	Lower middle	<10		n/a	100.0		n/a	121,426	6.8	27.6
LTU	Lithuania	2005	7050	SMEDA	Upper middle	0-9	10-49	50-249	75.0	20.2	4.8	56,428	16.5	71.2
LUX	Luxembourgo	2004	56380	PSL	High	0-9	10-49	50-99	87.7	10.9	1.5	24,334	54.1
LVA	Latvia	2001	3520	UNECE	Upper middle	0-9	10-49	50-249	73.0	22.3	4.7	32,571	13.8	36.6
MAR	Morocco	2002	1220	NAED	Lower middle			< 200				450,000	15.2
MDA	Moldova	2003	570	UNECEac	Low	0-9	10-49	50-249	70.8	18.5	10.7	25,667	6.1	21.6
MEX	Mexico	2004	6790	OECD	Upper middle	1-10	11-49	50-199				2,891,300	27.9	71.9
MKD	Macedonia	2003		UNECE	Lower middle	0-9	10-49	50-249	80.0	3.8	1.7	55,742	27.5
MLT	Malta	2004	12050	NSOM	High	1-9	10-49	50-249	95.8	3.6	0.6	30,974	77.2	86.9
MNP	Northern Mariana Islands	2002		USCB	Upper middle	0-4	5-19	n/a	55.4	44.6	n/a	1,069		17.1
MUS	Mauritius	2002	3850	SMU	Upper middle	1-9	n/a	n/a	100.0	n/a	n/a	75,267e	62.2
MWI	Malawi	2000	150	MNSO	Low	0-4	5-20	21-50	91.3	8.5	0.2	747,396	72.5	38.0
MYS	Malaysia	2005	4960	BNMac	Upper middle	<5	Manuf. 5-50 Ag  and Services 5-19	Manuf. 51-150  Ag and Services 20-50	79.4	18.4	2.2	518,996	20.5	65.2
NIC	Nicaragua	1999	720	GTZ via email	Low	1-5	6-20	21-100	96.7	2.8	0.4	158,859	32.7
NLD	Netherlands	2005		SN	High	0-9		10-99	92.1		7.9	735,160	45.0
NOR	Norwayo	2005	59590	SNO	High	0-4	5-19	20-99	85.5	11.8	2.7	316,243		57.7
NPL	Nepal	2001	230	CBSNPx	Low	0-9	10-49	50-199	n/a	77.3	22.7	3,040	0.1	57.9
NZL	New Zealand	2004	19990	NZMED	High	0-9	10-99	100-499	91.9	7.6	0.5	334,031	82.3	70.9
OMN	Oman	2004	9070	MONE	Upper middle	0-5	6-20	21-100	80.9	13.0	6.1	7,373	2.9
PAK	Pakistan	2005	690		Low	0-5	6-10	11-50	96.4	2.7	0.9	2,956,704	18.98
PAN	Panama	1999	3620	IADB	Upper middle	0-5	6-20	21-100	83.3	13.3	3.4	39,636	13.7	54.0
PER	Peru	2004	2360	IADB	Lower middle	0-10	11-50	51-199	94.4	3.9	1.7	658,837	23.9	92.8
PHL	Philippines	2003	1070	DTIPH	Lower middle	1-9	10-99	100-199	92.0	7.6	0.4	808,634	10.1
POL	Poland	2001	4530	PME	Upper middle	0-9	10-49	50-249	99.2		0.8	1,654,822	43.3	67.1
PRI	Puerto Ricoo	2002		USCBx	High	1-9	10-49	50-249	48.9	36.0	15.1	2,069	0.5	43.6
PRT	Portugal	2003	11870	EC	High	0-9	10-49	50-249	93.5	5.6	0.9	693,000	68.0	81.6d
PRY	Paraguay	2002	1120	IADB	Lower middle	0-5	6-20	21-100	76.3	23.7		548,000	95.5	92.8
ROM	Romania	2004	2960	RINS	Lower middle	0-9	10-49	50-249	88.9	8.9	2.3	392,544	18.1
RUS	Russian Federation	2005	4460	RSMERC	Lower middle	FE & IEi	< 100	< 250				6,891,300	48.8	50.5
SDN	Sudan	2001	340	SCBS	Low	0-9	n/a	n/a				22,460x	0.7
SGP	Singapore	2004	24760	SDSp	High	0-9		10-99	89.7		10.3	136,363	32.2	62.2
SLV	El Salvador	2001	2040	CONAMYPE	Lower middle	0-9	10-49	50-99	100.0	n/a	n/a	461,642	73.9
SVK	Slovak Republic	2004	6480	SOSR	Upper middle	0-9	10-49	50-249	80.5	15.1	4.4	70,553	13.1
SVN	Slovenia	2003	11870	UNECEac	High	0-9	10-49	50-249	93.8	5.0	1.2	91,066	45.6	62.6	?
SWE	Sweden	2005	41060	SWSCB	High	0-9	10-49	50-199	96.2	3.2	0.5	898,454	99.6	39.6
THA	Thailand	2002	1970	ACTET	Lower middle	1-9	10-49	50-199	93.9	5.3	1.1	842,360	13.7	69.0
TJK	Tajikistanab	2002	180	IFC	Low	<50		51-200	99.8		0.2	92,964	14.3	25.0
TMP	Timor-Leste	2004	550	WBG-ULMS	Low	0-9	10-50	51-100	72.7	25.9	1.4	4,138	4.5	n/a
TTO	Trinidad and Tobago	2004	8730	T&TCSO	Upper middle	0-9	10-49	49-249	84.2	12.5	3.3	19,150	14.7	n/a
TUN	Tunisiao	1999	2080	UNIDOx	Lower middle	<10	10-49	50-99	39.8	40.3	19.9	8,650	0.9
TUR	Turkey	2000	2980	OECDx	Lower middle	1-9	10-49	50-249	95.1	3.5	1.5	210,134	3.1	64.3
TZA	Tanzania	2002	300	IFC	Low	1-5	6-10	11-20	97.9	1.3	0.6	2,700,000	76.7
UGA	Ugandao	2002	230	UBOS	Low	1-9	10-49	50-99	97.9	1.9	0.2	160,453	6.5
UKR	Ukraine	2005	1520	UKRS	Lower middle	0-9	10-49	50-249	85.8		14.2	343,786	7.3	66.5
URY	Uruguay	2000	6150	IADB	Upper middle	0-4	5-19	20-99	90.2	1.0	1.6	143,035	42.8	68.5
USA	United States	2004	41440	USCB	High	0-9	10-99	100-499	78.8	19.7	1.5	5,868,737	20.0	50.9
UZB	Uzbekistano	2003	420	IFC	Low	<10	10-39	40-99	85.7	11.2	3.1	212,424	10.5	57.0
VEN	Venezuela	2000	4100	FUNDES	Upper middle	0-10	11-50	51-100		76.9	23.1	11,314	0.5
VIR	Virgin Islands (U.S.)o	2002		USCB	High	0-4	5-19	20-49	58.7	33.3	8.1	2,523	22.9	57.3
VNM	Vietnam	2004	540	GSO	Low	0-9	10-49	50-299	48.9	35.7	12.5	90,935	1.1
WBG	West Bank and Gaza	2004		PCBS	Lower middle	0-9	10-49	50-99	97.3	3.6	0.1	97,194	27.7
YEM	Yemen	2002	480	UNCDF	Low							310,000	16.24	n/a
YUG	Serbia and Montenegro	2003	1940	RDB	Lower middle	0-9	10-49	50-249	96.9		3.1	68,220	9.8	53.8
ZAF	South Africa	1997	3680	NTSA	Lower middle	0-9j	10-49	50-100j	92.0	7.0	1.0	900,683	22.0	39.0
	Note: For information on sources and methodology, see the companion note.
	a. s = annual sales (in U.S. dollars); i = annual gross income (in U.S. dollars); t = turnover (in U.S. dollars); a = assets (in Rp).
	b. Leasing is a form of financing in which one party provides another an asset for use for a specified period for specified payments (for a more detailed explanation of the indicator, see the companion note).
	c. Index based on a set of key investment climate indicators (for a more detailed explanation of the indicator, see the companion note). The higher the index, the better the investment climate.
	d. Data are from  "Small and Medium Enterprises Across the Globe: A New Database," by Meghana Ayagari, Thorsten Beck, and Asli Demirguc-Kunt. They are an average for the 1990s and based on the official country definition of SMEs.
	e. Data does not include medium enterprises.
	f. Includes working proprietors and unknown.
	g. Data are APEC's best guess for 2000 or the latest available data (1998-2000).
	h. All enterprises in the economy.
	i. FE = farm enterprises; IE = individual enterprises.
	j. Except in the mining, electricity, manufacturing, and construction sectors.
	k.  Data for industry only.
	l.  Data from UNECE Small and Medium-Sized Enterprises in Countries in Transition.
	m.  Data for enterprises in commerce and service.
	n.  Data excludes agriculture, forestry, and other services.
	o.  No official size class definition given.
	p.  Data for establishments in the services sector.
	q.  Data for micro enterprises only.
	r.  Data for 2000.
	s.  Data are from OECD SME Outlook 2005.
	t.  Data for industrial, commercial and service enterprises.
	u.  Size class definitions vary by sector.
	v.  Based on an SME definition of <500 employees.
	w.  Data for small enterprises in the market economy.
	x.  Data for manufacturing enterprises.
	y.  Data for craft industry only.
	z.  Total SMEs and Medium % approximated.
	aa.  Data are from "The Role of Factoring for Financing Small and Medium Enterprises," by Leora Klapper.  They are an average of 1994-2003.
	ab.  Data includes individual entrepreneurs and Dekhan farmers.
	ac.  Data also has Annual Sales Turnover limits.  Agriculture and Services:  Micro (<RM200000), Small(RM200,000-1,000,000), Medium(1,000,000-5,000,000); Manufacturing: Micro(<RM250,000), Small(RM250,000-10,000,000), Medium(10,000,000-25,000,000)
	ad.  Total employment data taken from ILO Laborsta database.