Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stark County, OH
Series ID MHICILBOH39151A052NCEN
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 2:32 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 25658
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28519
1994-01-01 .
1995-01-01 31856
1996-01-01 .
1997-01-01 35531
1998-01-01 36931
1999-01-01 37232
2000-01-01 39110
2001-01-01 38125
2002-01-01 37883
2003-01-01 38044
2004-01-01 38806
2005-01-01 41077
2006-01-01 41048
2007-01-01 43629
2008-01-01 43121
2009-01-01 42963
2010-01-01 41474
2011-01-01 40525
2012-01-01 44020
2013-01-01 43458
2014-01-01 46281
2015-01-01 47032
2016-01-01 49414
2017-01-01 49054
2018-01-01 50405
2019-01-01 53678
2020-01-01 54080
2021-01-01 57200
2022-01-01 61814
2023-01-01 60302

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