RMB loan balance of financial institutions in Qinghai Province (1952-2020)
The dataset recorded statistics on the balance of RMB loans from financial institutions in Qinghai Province from 1952 to 2018, divided by major years and regions such as Xining, Haidong, Haibei prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture and Yushu Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 34 data tables, which are:
Main year RMB deposit balance of financial institutions 2011.xls
Main years RMB deposit balance of financial institutions 1952-2004. XLS
Main years RMB deposit balance of financial institutions 1952-2008. XLS
Main years RMB deposit balance of financial institutions 1952-2009. XLS
Main years RMB deposit balance of financial institutions 1952-2010. XLS
Main years RMB deposit balance of financial institutions 1952-2006.xLS
Main years RMB deposit balance of financial institutions 1952-2007. XLS
Main years RMB deposit balance of financial institutions 1978-2005. XLS
Main years RMB loan balance of financial institutions 1952-2004. XLS
Main years RMB loan balance of financial institutions 1952-2009. XLS
Main years RMB loan balance of financial institutions 1952-2006. XLS
Main years RMB loan balance of financial institutions 1952-2007. XLS
Main years RMB loan balance of financial institutions 1978-2005. XLS
Main years RMB loan balance of financial institutions 1999-2008 XLS
Main years RMB loan balance of financial institutions 2010-2011 XLS
Main year RMB loan balance of financial institutions 2010.xls
Main years RMB loan balance of financial institutions 2010-2012 XLS
Financial institutions RMB deposit balance 2012 you.xls
Balance of RMB deposits of financial institutions 2011-2013. XLS
Balance of RMB deposits of financial institutions 2011-2014. XLS
Balance of RMB deposits of financial institutions in 2015. XLS
Balance of RMB deposits of financial institutions in 2016. XLS
Balance of RMB deposits of financial institutions in 2017. XLS
Balance of RMB deposits of financial institutions in 2018. XLS
Balance of RMB deposits of financial institutions in 2019. XLS
Balance of RMB deposits of financial institutions in 2020. XLS
Balance of RMB loans of financial institutions 2010-2013. XLS
Balance of RMB loans of financial institutions 2010-2014. XLS
Balance of RMB loans of financial institutions in 2015. XLS
Balance of RMB loans of financial institutions in 2016. XLS
Balance of RMB loans of financial institutions in 2017. XLS
Balance of RMB loans of financial institutions in 2018. XLS
Balance of RMB loans of financial institutions in 2019. XLS
Balance of RMB loans of financial institutions 2020. XLS
The data table structure is the same. For example, the 2012 data table of RMB deposit balance of financial institutions has 8 fields:
Field 1: Year region
Field 2: Total
Field 3: Unit deposit
Field 4: Demand deposit
Field 5: Time deposits
Field 6: Personal deposits
Field 7: Savings deposits
Field 8: Financial deposits
The dataset is stored in Excel format and contains 34 worksheets, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 19 75, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 19 RMB loans of financial institutions in Qinghai province in 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 Account balance statistics. Data files can be opened with Office software or imported into the relational database system. The unit of data table is: ten thousand yuan.
Qinghai Provincial Bureau of Statistics. (2021). RMB loan balance of financial institutions in Qinghai Province (1952-2020). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
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License：
This work is licensed under an
Attribution 4.0 International (CC BY 4.0)
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