15-10  Labor Productivity of Construction Enterprises by Region
Calculated in terms of value-added of construction.
							( yuan/person )
Region	2000	2001	2002	2003	2004	2005	2006
National Average	15929	17621	15715	17476	20887	23427	25741
Beijing	22553	26435	19100	19916	20180	23803	22745
Tianjin	21765	25736	18562	22475	25232	28472	33713
Hebei	13070	15023	13352	15169	18347	18719	20452
Shanxi	16824	18118	13638	15705	20040	20803	22428
Inner Mongolia	11913	13509	12029	15802	23827	23317	27857
Liaoning	15062	16867	14737	15966	19910	29271	31067
Jilin	16594	21197	13709	13900	18141	20870	22238
Heilongjiang	13991	15559	13157	14835	16745	17722	17822
Shanghai	24375	23565	23005	27720	25671	28994	32876
Jiangsu	16793	18823	17455	20185	23517	26624	29863
Zhejiang	21228	23593	23291	25842	27910	30270	31551
Anhui	11738	13259	13375	14501	17982	21109	24153
Fujian	17061	22417	19102	20956	23762	28397	34325
Jiangxi	11240	13428	13089	14578	16720	18762	21004
Shandong	12517	13555	12522	12943	18562	20673	22066
Henan	12766	13628	11577	13257	17613	18768	22285
Hubei	16268	17315	15535	17932	19852	21722	25092
Hunan	12697	14987	14337	15700	18870	21511	24109
Guangdong	19829	22559	19978	22056	25699	28617	30294
Guangxi	15308	15449	14606	16816	20351	21270	24279
Hainan	11868	11821	12685	12482	17301	19038	16191
Chongqing	12859	14526	13636	15246	18571	20763	22123
Sichuan	13118	14223	12897	13062	16022	16619	19393
Guizhou	14311	16162	15169	16548	18819	19889	22694
Yunnan	15531	16089	14717	13803	16920	17469	22215
Tibet	17105	16676	19987	16593	24731	27280	26118
Shaanxi	14559	15160	13090	14769	18886	21881	19883
Gansu	11701	12594	10998	11520	14364	15680	16053
Qinghai	15348	15508	12325	12930	16489	19532	22913
Ningxia	13895	15211	13036	14177	17650	18603	20078
Xinjiang	25209	26411	17966	19854	21197	21357	24054
a) Since 2003, the statistical standard of value added of construction has been adjusted. Labor productivity calculated on the basis of value added has
also been changed accordingly.To facilitate comparison,the 2002 data in the table have been adjusted in accordance with the new statistical standard.