Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Richland County, OH
Series ID MHICIUBOH39139A052NCEN
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 29086
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33102
1994-01-01 .
1995-01-01 35217
1996-01-01 .
1997-01-01 37489
1998-01-01 38769
1999-01-01 38619
2000-01-01 40996
2001-01-01 39873
2002-01-01 40255
2003-01-01 41082
2004-01-01 41879
2005-01-01 42393
2006-01-01 41982
2007-01-01 45845
2008-01-01 45421
2009-01-01 41768
2010-01-01 43160
2011-01-01 42549
2012-01-01 43773
2013-01-01 42352
2014-01-01 44062
2015-01-01 48254
2016-01-01 47543
2017-01-01 51024
2018-01-01 52929
2019-01-01 54834
2020-01-01 56621
2021-01-01 54397
2022-01-01 59056
2023-01-01 60132

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