Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ashland County, OH
Series ID MHICILBOH39005A052NCEN
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 24944
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29255
1994-01-01 .
1995-01-01 30863
1996-01-01 .
1997-01-01 33345
1998-01-01 35384
1999-01-01 35862
2000-01-01 37121
2001-01-01 36689
2002-01-01 36704
2003-01-01 37532
2004-01-01 38584
2005-01-01 38026
2006-01-01 42701
2007-01-01 43388
2008-01-01 40707
2009-01-01 41475
2010-01-01 38504
2011-01-01 41478
2012-01-01 41891
2013-01-01 45004
2014-01-01 43448
2015-01-01 44794
2016-01-01 47764
2017-01-01 46802
2018-01-01 50548
2019-01-01 48557
2020-01-01 49771
2021-01-01 53574
2022-01-01 56114
2023-01-01 60494

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