Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Highland County, OH
Series ID MHICILBOH39071A052NCEN
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 19339
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22598
1994-01-01 .
1995-01-01 24125
1996-01-01 .
1997-01-01 26658
1998-01-01 28433
1999-01-01 31617
2000-01-01 33058
2001-01-01 32489
2002-01-01 32808
2003-01-01 34303
2004-01-01 35300
2005-01-01 35527
2006-01-01 35910
2007-01-01 38389
2008-01-01 40455
2009-01-01 36309
2010-01-01 35718
2011-01-01 34395
2012-01-01 36410
2013-01-01 36735
2014-01-01 38664
2015-01-01 37995
2016-01-01 40581
2017-01-01 40647
2018-01-01 44530
2019-01-01 42455
2020-01-01 52918
2021-01-01 52176
2022-01-01 54442
2023-01-01 57505

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