Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bolivar County, MS

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bolivar County, MS
Series ID MHICIUBMS28011A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:11 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 16381
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19246
1994-01-01 .
1995-01-01 22829
1996-01-01 .
1997-01-01 24346
1998-01-01 26189
1999-01-01 24811
2000-01-01 26017
2001-01-01 24999
2002-01-01 24468
2003-01-01 25423
2004-01-01 25902
2005-01-01 26921
2006-01-01 27247
2007-01-01 28310
2008-01-01 31138
2009-01-01 29363
2010-01-01 31296
2011-01-01 31508
2012-01-01 31364
2013-01-01 31919
2014-01-01 31827
2015-01-01 33316
2016-01-01 32352
2017-01-01 37530
2018-01-01 35791
2019-01-01 33328
2020-01-01 41104
2021-01-01 39872
2022-01-01 43389
2023-01-01 44664

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