[13.M] Factors Affecting Analytical Balance Sheet of Commercial and Rural Banks - Monthly
Updated on DBnomics on April 4, 2022 (3:16 PM)
- min:
- 1,854,123.63
- max:
- 5,451,956.23
- avg:
- 3,650,135.211
- σ:
- 1,069,689.393
Period | Value |
2010-01 | 1861460.83 |
2010-02 | 1854123.63 |
2010-03 | 1906460.41 |
2010-04 | 1904058.75 |
2010-05 | 1927948.03 |
2010-06 | 2007738.73 |
2010-07 | 1988499.78 |
2010-08 | 1994944.84 |
2010-09 | 2044632.62 |
2010-10 | 2072707.44 |
2010-11 | 2108845.02 |
2010-12 | 2210494.78 |
2011-01 | 2188748.25 |
2011-02 | 2174379.61 |
2011-03 | 2209279.13 |
2011-04 | 2181976.73 |
2011-05 | 2220714.96 |
2011-06 | 2260749.83 |
2011-07 | 2288666.62 |
2011-08 | 2296176.08 |
2011-09 | 2363634.58 |
2011-10 | 2396277.71 |
2011-11 | 2450334.48 |
2011-12 | 2569344 |
2012-01 | 2570637.11 |
2012-02 | 2569615.66 |
2012-03 | 2626832.71 |
2012-04 | 2638443.03 |
2012-05 | 2699570.41 |
2012-06 | 2737835.37 |
2012-07 | 2741478.8 |
2012-08 | 2763838.91 |
2012-09 | 2801759.48 |
2012-10 | 2837322.27 |
2012-11 | 2879938.87 |
2012-12 | 2945477.39 |
2013-01 | 2941642.62 |
2013-02 | 2958619.67 |
2013-03 | 2991283.26 |
2013-04 | 3036497.73 |
2013-05 | 3091964.33 |
2013-06 | 3065621.2 |
2013-07 | 3122210.69 |
2013-08 | 3142612.54 |
2013-09 | 3223344.73 |
2013-10 | 3212643.67 |
2013-11 | 3240038.77 |
2013-12 | 3330349.5 |
2014-01 | 3272140.56 |
2014-02 | 3266959.57 |
2014-03 | 3274849.75 |
2014-04 | 3348749.07 |
2014-05 | 3399926.62 |
2014-06 | 3475476.09 |
2014-07 | 3433755.28 |
2014-08 | 3486522.31 |
2014-09 | 3614213.7 |
2014-10 | 3626985.28 |
2014-11 | 3669835.66 |
2014-12 | 3752667.52 |
2015-01 | 3782690.55 |
2015-02 | 3829989.82 |
2015-03 | 3864324.2 |
2015-04 | 3879934.75 |
2015-05 | 3881775.05 |
2015-06 | 3948949.1 |
2015-07 | 3940978.08 |
2015-08 | 3980225.5 |
2015-09 | 4079678.38 |
2015-10 | 4007309.48 |
2015-11 | 4014536.77 |
2015-12 | 4076997.56 |
2016-01 | 4058454.97 |
2016-02 | 4099765.45 |
2016-03 | 4141558.49 |
2016-04 | 4145709.32 |
2016-05 | 4172527.05 |
2016-06 | 4225286.62 |
2016-07 | 4254594.36 |
2016-08 | 4279488.18 |
2016-09 | 4268027.09 |
2016-10 | 4310412.59 |
2016-11 | 4391693.42 |
2016-12 | 4496492.23 |
2017-01 | 4466600.34 |
2017-02 | 4480483.94 |
2017-03 | 4548671.66 |
2017-04 | 4550548.29 |
2017-05 | 4641212.68 |
2017-06 | 4662693.03 |
2017-07 | 4660335.4 |
2017-08 | 4692452.25 |
2017-09 | 4730604.46 |
2017-10 | 4764362.19 |
2017-11 | 4783905.14 |
2017-12 | 4832036.85 |
2018-01 | 4819340.61 |
2018-02 | 4820231.17 |
2018-03 | 4846216.21 |
2018-04 | 4859103.2 |
2018-05 | 4853173.15 |
2018-06 | 4927488.91 |
2018-07 | 4924084.03 |
2018-08 | 4941501.03 |
2018-09 | 5015693.77 |
2018-10 | 5085511.95 |
2018-11 | 5084092.77 |
2018-12 | 5133609.55 |
2019-01 | 5065653.58 |
2019-02 | 5100317.25 |
2019-03 | 5161672.25 |
2019-04 | 5153062.65 |
2019-05 | 5184801.32 |
2019-06 | 5283174.51 |
2019-07 | 5319307.57 |
2019-08 | 5311907.86 |
2019-09 | 5389314.72 |
2019-10 | 5415713.64 |
2019-11 | 5451956.23 |
2019-07 | NA |
2019-08 | NA |
2019-09 | NA |
2019-10 | NA |
2019-11 | NA |
Dimension | Dimension value |
[freq] Frequency | [M] Monthly |