This data set records the statistical data of land use status in Guoluo Prefecture of Qinghai Province from 2003 to 2007, which is divided by industry, region, affiliation and registration type. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 9 data tables Present situation of land use in Guoluo Prefecture, 2003.xls Current situation of land use in Guoluo Prefecture, 2006-2007.xls Current situation of land use in Guoluo Prefecture, 2008.xls Present situation of land use in Guoluo Prefecture, 2008.xls Current situation of land use in Guoluo Prefecture, 2012.xls Present situation of land use in Guoluo Prefecture, 2004.xls Current situation of land use in Guoluo Prefecture, 2006.xls Present situation of land use in Guoluo Prefecture, 2007.xls Current situation of land use in Guoluo Prefecture, 2008.xls The data table structure is the same. For example, there are four fields in the data table of land use status in Luozhou in 2003 Field 1: area at the beginning of the year Field 2: area reduced during the year Field 3: area increased during the year Field 4: year end area
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of various professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2001 to 2020. The data are divided into agriculture, forestry, animal husbandry and fishery, mining, manufacturing, power, gas and water production and supply, construction, transportation, warehousing and postal administration, information transmission, computer services and software, wholesale and retail, accommodation and catering, and gold Financial industry, real estate industry, leasing and business service industry, scientific research and technology service, geological exploration industry, water conservancy environment and public facilities management industry, resident service and other service industries, education, health, social security and social welfare industry, culture, sports and entertainment industry, public management and social organizations, international organizations, etc. The data are compiled from the statistical yearbook of Qinghai Province issued by Qinghai Provincial Bureau of statistics. The dataset contains 36 data tables: Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2013 xls Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2014 xls Professional and technical personnel of state-owned institutions and enterprises in major years 2005-2012 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2015 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2016 xls Professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2015 to 2020 xls Professional and technical personnel of state-owned enterprises and institutions in Qinghai Province from 2010 to 2019 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2005-2017 xls Professional and technical personnel of state-owned enterprises and institutions in major years 2010-2018 xls Situation of various professional and technical personnel in institutions and enterprises, 2001-2003 xls Situation of various professional and technical personnel in institutions and enterprises, 2001-2005 xls。 Professional and technical personnel of institutions and enterprises, 2004 xls Professional and technical personnel of public institutions by industry, 2004 xls Professional and technical personnel of public institutions by industry, 2003 xls Professional and technical personnel of enterprises and institutions by industry, 2006 xls Professional and technical personnel of the enterprise by industry, 2004 xls Professional and technical personnel by industry, 2003 xls Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2006 XLS Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2007 XLS Professional and technical personnel in state - owned institutions and enterprises, 2001 - 2008 XLS Professional and technical personnel of state - owned institutions and enterprises 2005 - 2009 xls Professional and technical personnel of state-owned institutions and enterprises, 2005-2010 XLS Professional and technical personnel of state-owned institutions and enterprises, 2005-2011 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2010 xl Professional and technical personnel of state-owned enterprises and institutions by industry, 2011 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2012 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2013 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2014 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2015 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2016 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2017 xls Professional and technical personnel of state-owned enterprises and institutions by industry in 2018 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2006 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2007 xls Professional and technical personnel of various industries in state-owned enterprises and institutions, 2008 xls Professional and technical personnel of state-owned enterprises and institutions by industry, 2009 xls The data table structure is the same. For example, there are 7 fields in the 2003 data sheet of the enterprise's professional and technical personnel by industry: Field 1: Industry Field 2: Total Field 3: engineering technicians Field 4: agricultural technicians Field 5: Researchers Field 6: health technicians Field 7: Educators
Qinghai Provincial Bureau of Statistics
This paper records the statistical data of the annual per capita consumption expenditure of urban households in Qinghai Province from 1985 to 2004. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains nine tables, which are: composition of annual per capita consumption expenditure of Urban Households (2001) 2001.xls, composition of annual per capita consumption expenditure of urban households 1985-2003.xls, composition of annual per capita consumption expenditure of urban households 2002.xls, composition of annual per capita consumption expenditure of urban households 2004.xls, etc. The data table structure is the same. For example, there are four fields in the data table from 1989 to 2001 Field 1: year Field 2: high income account Field 3: middle income account Field 4: low income households
Qinghai Provincial Bureau of Statistics
The data set records the main indicators of urban household survey in Qinghai Province from 1984 to 2008, and the data are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 20 data tables, which are: Main Indicators of urban household survey 1984-1998.xls, main indicators of urban household survey 1984-1999.xls, main indicators of urban household survey 1990-2000.xls, basic information of Urban Households (2001) 2001.xls, etc. The data table structure is the same. For example, the data table in 2001 has six fields: Field 1: low income households Field 2: lower middle class Field 3: Middle Income Households Field 4: upper middle class Field 5: high income account Field 6: highest income account
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of fixed assets investment of urban collective economy in Qinghai Province (1990-2000), which is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables, which are: urban collective economic fixed asset investment 1990-1998.xls, urban collective economic fixed asset investment 1990-1999.xls, urban collective economic fixed asset investment 1990-2000.xls. The data table structure is the same. For example, the 1990-1998 data table has four fields: Field 1: year Field 2: Investment Field 3: amount Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the average wages of employees in urban collective units of Qinghai Province from 1978 to 2006, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains four data tables, which are: the average wages of employees in different industries of urban collective units (2003). XLS, the average wages of employees in different industries of urban collective units from 1978 to 2001. XLS, the average wages of employees in different industries of urban collective units from 1978 to 2002. XLS, the average wages of employees in different industries of urban collective units from 2004. XLS, and the average wages of employees in different industries of urban collective units from 2006. XLS ls。 The data table structure is the same. For example, the data table in 2006 has four fields: Field 1: year Field 2: Industry Field 3: Region Field 4: amount
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of employees in urban collective units of Qinghai Province from 2006 to 2008 by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 11 tables, which are: the number of employees in urban collective units by industry and region at the end of the year (2006). XLS, the number of employees in urban collective units by industry and region at the end of the year (2007). XLS, the number of employees in urban collective units by industry and region at the end of the year (2008). XLS, etc. The data table structure is the same. For example, the data table in 2006 has four fields: Field 1: year Field 2: Industry Field 3: Region Field 4: amount
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of employees and labor remuneration of urban collective units in Qinghai Province from 1998 to 2000. The data are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables: employees and labor remuneration of urban collective units in 1998. XLS; employees and labor remuneration of urban collective units in 1999. XLS; employees and labor remuneration of urban collective units in 2000. XLS; employees and labor remuneration of urban individual sub industries in 2000. XLS. The data table structure is the same. For example, the data table in 2000 has four fields: Field 1: year Field 2: Practitioners Field 3: other people Field 4: retirees
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of fixed assets investment and housing area of urban collective units in Qinghai province according to the composition, and the data is divided by industry, region, use, etc. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of four tables, which are: fixed assets investment and housing area of urban collective units by component 1985-2001.xls, fixed assets investment and housing area of urban collective units by component 1985-2002.xls, fixed assets investment and housing area of urban collective units by component 1985-2003.xls, fixed assets investment and housing area of urban collective units by component 1985-2003.xls House area 1985-2004.xls. The data table structure is the same. For example, there are four fields in the data table from 1985 to 2004 Field 1: year Field 2: house area Field 3: completed area Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of individual housing construction in cities and towns and industrial and mining areas of Qinghai Province from 1985 to 2005, and the data are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set consists of 8 tables, which are: 1985-2001.xls for individual building in town and mining area, 1985-2002.xls for individual building in town and mining area, 1985-2003.xls for individual building in town and mining area, 1985-2003.xls for individual building in town and mining area, etc. The data table structure is the same. For example, there are four fields in the data table from 1985 to 2002 Field 1: year Field 2: house area Field 3: completed area Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the new main production capacity of urban fixed assets investment projects in Qinghai Province from 2000 to 2014, which is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 10 data tables, which are: new main production capacity of urban fixed assets investment projects 2000-2005.xls, new main production capacity of urban fixed assets investment projects 2000-2006.xls, new main production capacity of urban fixed assets investment projects 2000-2007.xls, new main production capacity of urban fixed assets investment projects 2000-2008.xls, etc. The data table structure is the same. For example, there are four fields in the data table from 2000 to 2008 Field 1: year Field 2: Project Field 3: Indicators Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of urban fixed assets investment in Qinghai Province from 2001 to 2014, which is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 11 data tables, which are: city's main socio-economic indicators (2014). XLS, urban fixed asset investment 2001-2005. XLS, urban fixed asset investment 2001-2006. XLS, urban fixed asset investment 2001-2007. XLS, etc. The data table structure is the same. For example, there are four fields in the data table from 2001 to 2007 Field 1: year Field 2: Indicators Field 3: population Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of registered unemployed persons in cities and towns of Qinghai Province from 1980 to 2003, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains seven tables, which are: changes of urban registered unemployed persons from 1980 to 2001.xls, changes of urban registered unemployed persons from 1980 to 2002.xls, changes of urban registered unemployed persons from 1980 to 2003.xls, changes of urban registered unemployed persons from 1990 to 1998.xls, etc. The data table structure is the same. For example, there are four fields in the data table from 1980 to 2003 Field 1: year Field 2: number of unemployed Field 3: total number of people Field 4: Proportion
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of employees and labor remuneration of urban units in Qinghai Province from 2006 to 2008, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains three data tables: Urban unit employment and labor remuneration (2006). XLS, urban unit employment and labor remuneration (2007). XLS, urban unit employment and labor remuneration (2008). XLS. The data table structure is the same. For example, the data table in 2008 has four fields: Field 1: year Field 2: number of units Field 3: number of people Field 4: other
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of employees' changes in urban units of Qinghai Province from 2001 to 2008, which are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains nine tables, which are: changes of employees in urban units (2002). XLS, changes of employees in urban units (2003). XLS, changes of employees in urban units (2004). XLS, changes of employees in urban units (2006). XLS, etc. The data table structure is the same. For example, the data table in 2002 has four fields: Field 1: year Field 2: Rural Field 3: Town Field 4: People
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of urban and rural private enterprises in Qinghai Province from 1998 to 2018, and the data are divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 21 tables, which are: basic situation of urban and rural private enterprises (2003). XLS, basic situation of urban and rural private enterprises (2006). XLS, basic situation of urban and rural private enterprises (2007). XLS, basic situation of urban and rural private enterprises (2008). Xls, basic situation of urban and rural private enterprises (2009). XLS, etc. The data table structure is the same. For example, the data table in 2006 has four fields: Field 1: year Field 2: Project Field 3: sole proprietorship Field 4: Rural
Qinghai Provincial Bureau of Statistics
"The data set records the statistics of the Base Index of urban and rural commodity retail Price in Qinghai Province from 2006 to 2020. Data are divided by the total retail price index of commodities, household appliances and audio-visual equipment, cultural office supplies, sports and entertainment supplies, transportation, communication supplies, furniture, cosmetics, gold, silver and jewelry, Chinese and Western medicines and medical treatment, books, newspapers, magazines and electronics, fuel, building materials, hardware and electric materials, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 15 data tables, which are: Base Index of Retail Prices of Urban and Rural Commodities (2006). XLS, Base Index of Retail Prices of Urban and Rural Commodities (2007). XLS, Base Index of Retail Prices of Urban and Rural Commodities (2008). Qinghai Province Urban and rural Commodity retail Price base Index (2011).XLS, and Qinghai Province Urban and rural commodity retail price base index (2020).XLS, etc. The data table structure is the same. For example, the 2010 table has four fields: Field 1: Year Field 2: Item Field 3: Town Field 4: Rural"
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the balance table of urban and rural labor resources and distribution in Qinghai Province from 1997 to 1999, which is divided by industry, region and use. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set includes two tables: the balance of urban and rural labor resources and distribution 1997-1998.xls, and the balance of urban and rural labor resources and distribution 1998-1999.xls. The data table structure is the same. For example, there are four fields in the data table from 1997 to 1998 Field 1: year Field 2: Project Field 3: Town Field 4: Rural
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of urban and rural residents' consumption in Qinghai Province from 1984 to 2015, which is divided by industry, region and purpose. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains five data tables: urban and rural consumer price index (2006). XLS, urban and rural consumer price index (2007). XLS, urban and rural consumer price index (2008). XLS, urban and rural consumption (old caliber) 1984-2013. XLS, urban and rural consumption (old caliber) 1984-2015. XLS. The data table structure is the same. For example, the data table in 2006 has four fields: Field 1: year Field 2: Project Field 3: Town Field 4: Rural
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of the base index of consumer price for urban and rural residents in Qinghai Province from 2009 to 2020. The total data in the consumer price index, the smoke of food price index, food (the original diameter) index, the index of non-food (diameter), the service price index, industrial goods price index, the fresh food price index, the consumer price index, the index of energy prices, the food price index, excluding food and energy prices, excluding fresh fruit price index, excluding home ownership Price index, living (deduct self-owned housing) price index, etc. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 21 data tables, which are: Base Index of Urban and Rural Consumer Prices (2009).xls, Base Index of Urban and Rural Consumer Prices (2010).xls, Base Index of Urban and Rural Consumer Prices (2011).xls, Base Index of Urban and Rural Consumer Prices (2012).xls, Qinghai Province Consumer Price base Index for Urban and Rural Residents (2019).XLS, Qinghai Province Consumer Price base Index for Urban and Rural Residents (2020).XLS, etc. The data table structure is the same. For example, the 2012 data table has 4 fields: Field 1: Year Field 2: province Field 3: Town Field 4: Rural
Qinghai Provincial Bureau of Statistics
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