The data set records the statistical data of the rural residents' housing situation in Qinghai Province, which is divided by the rural residents' housing situation in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set mainly includes 12 data tables Housing situation of rural households in Main Years 1985-2006.xls Housing situation of rural households in Main Years 1985-2008.xls Housing situation of rural households in Main Years 1985-2009.xls Housing situation of rural households in Main Years 1985-2010.xls Housing situation of rural households in Main Years 1985-2005.xls Housing situation of rural households in Main Years 1995-2011.xls Housing situation of rural households in Main Years 2000-2013.xls Housing situation of rural households in Main Years 1995-2012.xls Housing situation of rural households 1985-2001.xls Housing situation of rural households 1985-2002.xls Housing situation of rural households 1985-2003.xls The data table structure is similar. For example, there are four fields in the 1985-2001 data table about the housing situation of rural households Field 1: new houses in this year Field 2: housing structure Field 3: housing situation at the end of the year Field 4: housing structure
Qinghai Provincial Bureau of Statistics
Debris flow in Nanfeng area is a natural disaster phenomenon caused by the combination of many natural factors. It is affected by the terrain, geology and climate. Therefore, the formation and development of debris flow fully reflect the organic combination of various natural factors. The modern geomorphic process in Nanfeng area is very active, and the glaciation, canyon flow and slope physical and geological processes are very strong. The data analysis shows that due to the sharp rise of the ground and the strong invasion of the Yarlung Zangbo River water system, most of the gullies are V-shaped, short and steep, and the vertical gradient of the gully bed is large, about 500 ‰ in the upper reaches and about 400 ‰ on average, and 250-300 ‰ in the middle and lower reaches. This kind of steep valley terrain is easy to form debris flow under the action of turbulent current. Under the action of gravity, landslides and collapses occur continuously in the valley. According to the investigation, most of the terrain slopes favorable for the formation of debris flow in Nanfeng area are above 30 degrees, and the upper valley slope in this area can generally reach 40-50 degrees, and the maximum can reach 60-70 degrees. The middle and lower valley slopes are also between 35-40 degrees, which are favorable for the development of debris flow.
PENG Buzhuo, YANG Yichou
The data set records the statistical data of the main food consumption per capita of rural households in Qinghai Province. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set mainly includes 9 data tables In the main years, the consumption of main food per capita of rural households was 2000-2013.xls In the main years, the consumption of major consumer goods per capita of rural households showed a trend of 1990-2012.xls Consumption of major consumer goods per capita of rural households in Main Years 1978-2005.xls Main consumer goods per capita of rural households in Main Years: xiaoyaobao 1985-2004.xls Consumption of major consumer goods per capita of rural households in Main Years 1985-2006.xls In the main years, the average consumption of main consumer goods per capita of rural households was 1985-2008.xls In the main years, the consumption of major consumer goods per capita of rural households showed a trend of 1985-2009.xls Main consumer goods consumption per capita of rural households in Main Years: 1985-2010.xls Average consumption of major consumer goods per capita of rural households in the year of master wife 1990-2011.xls The data table structure is similar. For example, there are 11 fields in the 2000-2013 data table of the main food consumption per capita of rural households in major years Field 1: grain (raw grain) Field 2: beans and bean products Field 3: vegetables and products Field 4: cooking oil Field 5: meat, poultry and products Field 6: eggs and egg products Field 7: milk and dairy products Field 8: aquatic products Field 9: sugars Field 10: fruits and products Field 11: nuts and products
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of major fixed assets owned by rural households in Qinghai Province from 1985 to 2013. The data are 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 seven data tables In the main years, the average rural household owned the main fixed assets at the end of every 100 households, 1985-2008.xls In the main years, the average rural household owned the main fixed assets at the end of every 100 households, 1985-2009.xls In the main years, the average rural household owned the main fixed assets at the end of every 100 households, 1985-2010.xls In the main years, the average rural household owned the main fixed assets at the end of every 100 households, 1985-2006.xls In the main years, the average rural household owned the main fixed assets at the end of every 100 households, 1990-2011.xls Major years rural households have major fixed assets at the end of every 100 households in 2000-2013.xls Major years rural households have major fixed assets at the end of every 100 households on average, 1995-2012.xls The data table structure is the same. For example, there are nine fields in the data table of 1995-2012 for every 100 rural households with major fixed assets at the end of the year Field 1: product name Field 2: name Field 3: 1995 Field 4: 2000 Field 5: 2005 Field 6: 2009 Field 7: 2010 Field 8: 2011 Field 9: 2012
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of durable consumer goods owned by rural households in Qinghai Province from 1978 to 2013. The data are 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 12 data tables The average number of durable consumer goods owned by rural households at the end of each hundred households in Main Years 1978-2005.xls The average number of durable consumer goods owned by rural households at the end of each hundred households in Main Years 1985-2004.xls The average number of durable consumer goods owned by rural households at the end of each hundred households in Main Years 1985-2006.xls The average number of durable consumer goods owned by rural households at the end of each hundred households in Main Years 1985-2008.xls The average number of durable consumer goods owned by rural households at the end of each 100 households in Main Years 1985-2009.xls The average number of durable consumer goods owned by rural households at the end of each hundred households in Main Years 1985-2010.xls The average number of durable consumer goods owned by rural households at the end of each hundred households in major years 1995-2011.xls The average number of durable consumer goods owned by rural households at the end of each 100 households in Main Years 2000-2013.xls The average number of durable consumer goods owned by rural households at the end of each 100 households in Main Years 2000-2012.xls The average number of durable consumer goods owned by rural households at the end of each hundred households, 1985-2001.xls The average number of durable consumer goods owned by rural households at the end of each hundred households, 1985-2002.xls The average number of durable consumer goods owned by rural households at the end of each hundred households 1985-2003.xls The data table structure is the same. For example, there are 10 fields in the data sheet of 2003 about the professional and technical personnel in different industries Field 1: product name Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8:1999 Field 9:2000 Field 10:2001
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of rural households in Qinghai Province from 1985 to 2013, 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 12 data tables Basic situation of rural households in Main Years 1985-2004.xls Basic information of rural households in Main Years 1985-2006.xls Basic situation of rural households in Main Years 1985-2008.xls Basic information of rural households in Main Years 1985-2009.xls Basic situation of rural households in Main Years 1990-2010.xls Basic information of rural households in Main Years 1990-2005.xls Basic situation of rural households in Main Years 1995-2011.xls Basic situation of rural households in Main Years 2000-2013.xls Basic situation of rural households in Main Years 2000-2012.xls Basic information of rural households 1985-2001.xls Basic information of rural households, 1985-2002.xls Basic information of rural households 1985-2003.xls The data table structure is the same. For example, there are 10 fields in the 1985-2001 data table about the basic situation of rural households Field 1: Project Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8:1999 Field 9:2000 Field 10:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the proportion of rural households grouped by net income in the survey households in Qinghai Province from 1985 to 2011, 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 12 data tables The proportion of rural households grouped by net income in the survey households in the main years 1985-2004.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2006.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2008.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2009.xls The proportion of rural households grouped by net income in the survey households in the main years 1985-2010.xls The proportion of rural households grouped by net income in the survey households in the main years 1990-2005.xls The proportion of rural households grouped by net income in the survey households in Main Years 1995-2011.xls The proportion of rural households grouped by net income in the survey households in Main Years 1995-2011.xls Proportion of households grouped by net income of farmers and herdsmen in survey households in Main Years 1985-2007.xls The proportion of rural households grouped by net income in the survey households, 1985-2001.xls The proportion of rural households grouped by net income in the survey households, 1985-2002.xls The proportion of rural households grouped by net income in the survey households 1985-2003.xls The data table structure is the same. For example, the proportion of rural households grouped by net income in the survey households has 10 fields in the data table from 1985 to 2001 Field 1: Project Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1996 Field 6: 1997 Field 7: 1998 Field 8:1999 Field 9:2000 Field 10:2001
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of income distribution and benefit of rural economy in Qinghai Province from 1978 to 2001, 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 four tables Income distribution and benefit of rural economy, 1978-1998.xls Income distribution and benefit of rural economy, 1978-1999.xls Income distribution and benefit of rural economy, 1978-2000.xls Income distribution and rural economic benefits in 1978-xls The data table structure is the same. For example, there are eight fields in the data table of rural economic income distribution and benefit from 1978 to 2000 Field 1: Indicators Field 2: 1978 Field 3: 1985 Field 4: 1990 Field 5: 1995 Field 6: 1998 Field 7: 1999 Field 8: year 2000
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the number of rural family employees in Qinghai Province from 1952 to 2000, 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 two data tables The number of rural family employees by industry 1952-1999.xls The number of rural family employees by industry 1952-2000.xls The data table structure is the same. For example, there are eight fields in the 2003 data sheet about the professional and technical personnel in different industries Field 1: Category Field 2: 1952 Field 3: 1978 Field 4: 1990 Field 5: 1995 Field 6: 1998 Field 7: 1999 Field 8: year 2000
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the rural collective fixed assets investment in Qinghai Province from 1992 to 2000, 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 three data tables Completion of rural collective fixed assets investment 1992-1998.xls Completion of rural collective fixed assets investment 1992-1999.xls Completion of rural collective fixed assets investment 1992-2000.xls The data table structure is the same. For example, there are 10 fields in the 1992-2000 data table about the completion of rural collective fixed assets investment Field 1: Project Field 2: Unit Field 3: 1992 Field 4: 1993 Field 5: 1995 Field 6: 1996 Field 7: 1997 Field 8: 1998 Field 9: 1999 Field 10: 2000
Qinghai Provincial Bureau of Statistics
The data set records the basic situation of rural areas in Qinghai Province and the statistical data of rural employees from 2000 to 2018, which are 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 16 data tables Basic situation of rural areas and rural employees 2000-2005.xls Basic situation of rural areas and rural employees 2000-2006.xls Basic situation of rural areas and rural employees 2000-2007.xls Basic situation of rural areas and rural employees 2002-2003.xls Basic situation of rural areas and rural employees 2004.xls Basic situation of rural areas and rural employees 2005-2009.xls Basic situation of rural areas and rural employees 2005-2010.xls Basic situation of rural areas and rural employees 2005-2011.xls Rural basic situation and rural employees 2007-2012.xls Rural basic situation and rural employees 2008-2013.xls Rural basic situation and rural employees 2008.xls Basic situation of rural areas and rural employees 2010-2014.xls Basic situation of rural areas and rural employees 2010-2015.xls Basic situation of rural areas and rural employees 2011-2016.xls Basic situation of rural areas and rural employees 2012-2017.xls Basic situation of rural areas and rural employees 2013-2018.xls The data table structure is the same. For example, there are six fields in the 2002-2003 data table of basic situation of rural areas and rural employees Field 1: Indicators Field 2: 2000 Field 3: 2001 Field 4: 2002 Field 5: 2003 Field 6: 2003 is% of 2002
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of rural personal fixed assets and housing construction in Qinghai Province from 1985 to 2018, which are 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 contains 18 data tables Rural personal fixed assets and housing construction 1985-2010.xls Rural personal fixed assets investment and housing construction, 1985-2001.xls Rural personal fixed assets investment and housing construction, 1985-2002.xls Rural personal fixed assets investment and housing construction 1985-2003.xls Rural personal fixed assets investment and housing construction, 1985-2005.xls Rural personal fixed assets investment and housing construction, 1985-2006.xls Rural personal fixed assets investment and housing construction, 1985-2007.xls Rural personal fixed assets investment and housing construction, 1985-2008.xls Rural personal fixed assets investment and housing construction, 1985-2009.xls Rural personal fixed assets investment and housing construction, 1985-2011.xls Rural personal fixed assets investment and housing construction, 1985-2012.xls Rural personal fixed assets investment and housing construction, 1985-2013.xls Rural personal fixed assets investment and housing construction, 1985-2014.xls Rural personal fixed assets investment and housing construction, 1985-2015.xls Rural personal fixed assets investment and housing construction, 1985-2016.xls Rural personal fixed assets investment and housing construction, 1985-2017.xls Rural personal fixed assets investment and housing construction, 1985-2018.xls Rural personal fixed assets investment and housing construction 2004.xls The data table structure is the same. For example, there are seven fields in the data table of rural personal fixed assets and housing construction from 1985 to 2010 Field 1: year Field 2: total investment Field 3: by investment source Field 4: by investment direction Field 5: building area of construction house Field 6: floor area of completed house Field 7: completed housing cost
Qinghai Provincial Bureau of Statistics
Near surface atmospheric forcing data were produced by using Wether Research and Forecasting (WRF) model over the Heihe River Basin at hourly 0.05 * 0.05 DEG resolution, including the following variables: 2m temperature, surface pressure, water vapor mixing ratio, downward shortwave & upward longwave radiation, 10m wind field and the accumulated precipitation. The forcing data were validated by observational data collected by 15 daily Chinese Meteorological Bureau conventional automatic weather station (CMA), a few of Heihe River eco-hydrological process comprehensive remote sensing observation (WATER and HiWATER) site hourly observations were verified in different time scales, draws the following conclusion: 2m surface temperature, surface pressure and 2m relative humidity are more reliable, especially 2m surface temperature and surface pressure, the average errors are very small and the correlation coefficients are above 0.96; correlation between downward shortwave radiation and WATER site observation data is more than 0.9; The precipitation agreed well with observational data by being verified based on rain and snow precipitation two phases at yearly, monthly, daily time scales . the correlation coefficient between rainfall and the observation data at monthly and yearly time scales were up to 0.94 and 0.84; the correlation between snowfall and observation data at monthly scale reached 0.78, the spatial distribution of snowfall agreed well with the snow fractional coverage rate of MODIS remote sensing product. Verification of liquid and solid precipitation shows that WRF model can be used for downscaling analysis in complex and arid terrain of Heihe River Basin, and the simulated data can meet the requirements of watershed scale hydrological modeling and water resources balance. The data for 2000-2012 was provided in 2013. The data for 2013-2015 was updated in 2016. The data for 2016-2018 was updated in 2019.
PAN Xiaoduo
1. Data overview Take Ganzhou District, Linze County and Gaotai County of Zhangye City in the middle reaches of Heihe River Basin as the research area, and carry out input-output survey on agricultural, industrial and service enterprises and individuals in the research area from May to November 2013. According to the survey data, use the survey method to compile the input-output table of 42 departments in 2012 in this area. 2. The data content Data mainly reflects the input-output of various national economic industries in the process of production, circulation and consumption in ganlingao region in 2012.
XU Zhongmin,
Based on the data of downscaling results in the precipitation historical period of CMIP5 (Coupled Model Intercomparison Project Phase 5), the combined Method of geographical weighted regression and HASM (High Accuracy Surface Modeling Method) was used to analyze the annual mean precipitation in the future three periods of 2011-2040, 2041-2070 and 2071-2100 in the scenario of rcp2.6, rcp4.5 and rcp8.5. Through downscaling simulation and prediction, the 1km downscaling results of the multi-year average precipitation in the three periods of 2011-2040, 2041-2070 and 2071-2100 are obtained.
YUE Tianxiang, ZHAO Na
This data set records the statistical data of rural power, farmland water conservancy construction and material consumption in Qinghai Province from 2000 to 2018, which are 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 16 data tables Rural power, water conservancy construction and material consumption, 2000-2005.xls Rural power, water conservancy construction and material consumption, 2000-2006.xls Rural power, water conservancy construction and material consumption, 2000-2007.xls Rural power, water conservancy construction and material consumption 2002-2003.xls Rural power, water conservancy construction and material consumption, 2004.xls Rural power, water conservancy construction and material consumption 2005-2009.xls Rural power, water conservancy construction and material consumption 2006-2010.xls Rural power, water conservancy construction and material consumption 2007-2011.xls Rural power, water conservancy construction and material consumption, 2008-2012.xls Rural power, water conservancy construction and material consumption, 2008.xls Rural power, water conservancy construction and material consumption, 2009-2013.xls Rural power, water conservancy construction and material consumption, 2009-2014.xls Rural power, water conservancy construction and material consumption 2010-2015.xls Rural power, water conservancy construction and material consumption 2011-2016.xls Rural power, water conservancy construction and material consumption, 2012-2017.xls Rural power, water conservancy construction and material consumption 2013-2018.xls The data table structure is the same. For example, there are nine fields in the data table of rural power, irrigation and water conservancy construction and material consumption from 2000 to 2006 Field 1: Indicators Field 2: 2000 Field 3: 2001 Field 4: 2002 Field 5: 2003 Field 6: 2004 Field 7: 2005 Field 8: 2006 Field 9: 2006 is% of 2005
Qinghai Provincial Bureau of Statistics
The data set records the statistical data of rural power, irrigation area and fertilizer use in Qinghai Province from 1978 to 2018, which are 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 16 data tables Application amount of rural electric power and chemical fertilizer in Main Years 1978-2014.xls Application amount of rural electric power and chemical fertilizer in Main Years 1978-2015.xls Application amount of rural electric power and chemical fertilizer in Main Years 1978-2016.xls Application amount of rural electric power and chemical fertilizer in Main Years 1978-2017.xls Application amount of rural electric power and chemical fertilizer in Main Years 1978-2018.xls Rural electricity, irrigation area and chemical fertilizer application in Main Years 1978-2004.xls Rural electricity, irrigation area and chemical fertilizer application in Main Years 1978-2011.xls Rural electricity, irrigation area and chemical fertilizer application in Main Years 1978-2013.xls Main years rural electricity, irrigation area, fertilizer application 1978-2012.xls Main years and areas of rural power, irrigation area, fertilizer application 1978-2003.xls Rural electricity, irrigation area and fertilizer use 1978-2010.xls Rural electric power, irrigation area and chemical fertilizer application, 1978-2005.xls Rural electric power, irrigation area and chemical fertilizer application, 1978-2006.xls Rural electric power, irrigation area and chemical fertilizer application, 1978-2007.xls Rural electric power, irrigation area and chemical fertilizer application, 1978-2008.xls Rural electric power, irrigation area and chemical fertilizer application, 1978-2009.xls The data table structure is the same. For example, there are seven fields in the data table of rural electricity, irrigation area and fertilizer application from 1978 to 2006 Field 1: year Field 2: Rural Hydropower Station Field 3: rural electricity consumption Field 4: fertilizer rate Field 5: effective irrigation area
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of per capita income and expenditure of rural permanent residents in Qinghai Province from 2014 to 2018, 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 five data tables Per capita income and expenditure of rural permanent residents, 2014.xls Per capita income and expenditure of rural permanent residents, 2015.xls Per capita income and expenditure of rural permanent residents, 2016.xls Per capita income and expenditure of rural permanent residents 2017.xls Per capita income and expenditure of rural permanent residents, 2018.xls The data table structure is the same. For example, the per capita income and expenditure of rural permanent residents in 2014 has five fields: Field 1: Indicators Field 2: item Field 3: absolute number Field 4: growth rate Field 5: composition
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of Qinghai province's agricultural product purchase price index from 1952 to 2001, 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 11 tables Agricultural products purchase price index of Main Years 1952-1998.xls Agricultural products purchase price index of Main Years 1952-1999.xls Agricultural product purchase price index of Main Years 1952-2000.xls Agricultural products purchase price index 1952-2001.xls Agricultural products purchase price index 1998.xls Agricultural products purchase price sub index 1999.xls Agricultural products purchase price sub index 2000.xls Agricultural products purchase price index 2001.xls Agricultural product purchase price index 1998.xls Agricultural products purchase price index in 1999 Agricultural products purchase price index 2000.xls The data table structure is the same. For example, there are 10 fields in the 1952-2001 data table of the agricultural products purchase price sub index Field 1: year Field 2: total index Field 3: grain Field 4: cash crops Field 5: livestock products Field 6: dried and fresh fruits Field 7: dried and fresh vegetables and condiments Field 8: medicinal materials Field 9: soil by-products Field 10: aquatic products
Qinghai Provincial Bureau of Statistics
This data set records the statistical data of the total output value of agriculture, forestry, animal husbandry and fishery in Qinghai Province from 1952 to 2018, 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 contains 18 data tables Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2004.xls Total output value of agriculture, forestry, animal husbandry and fishery in Main Years 1996-2005.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2008.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2009.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2010.xls Total output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2011.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2013.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2014.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2015.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2016.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2017.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2018.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2006.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2007.xls Gross output value of agriculture, forestry, animal husbandry and fishery in Main Years 1952-2012.xls Gross output value of agriculture, forestry, animal husbandry and fishery 1952-2001.xls Gross output value of agriculture, forestry, animal husbandry and fishery 1952-2002.xls Gross output value of agriculture, forestry, animal husbandry and fishery 1952-2003.xls The data table structure is the same. For example, the total output value of agriculture, forestry, animal husbandry and fishery from 1952 to 2001 has three fields Field 1: Year Region Field 2: calculate by constant price Field 3: calculated according to the current price of the current year
Qinghai Provincial Bureau of Statistics
