Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Richland County, OH

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Richland County, OH
Series ID MHICILBOH39139A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 PM 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 24944
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28790
1994-01-01 .
1995-01-01 29089
1996-01-01 .
1997-01-01 31319
1998-01-01 32676
1999-01-01 33941
2000-01-01 35317
2001-01-01 34798
2002-01-01 35115
2003-01-01 36258
2004-01-01 36933
2005-01-01 37289
2006-01-01 37259
2007-01-01 40794
2008-01-01 40362
2009-01-01 37829
2010-01-01 39764
2011-01-01 38299
2012-01-01 39771
2013-01-01 38068
2014-01-01 39834
2015-01-01 42292
2016-01-01 42127
2017-01-01 43258
2018-01-01 46407
2019-01-01 48932
2020-01-01 47969
2021-01-01 49069
2022-01-01 50756

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