Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ohio County, KY
Series ID MHICILBKY21183A052NCEN
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 3:13 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 17129
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19222
1994-01-01 .
1995-01-01 20945
1996-01-01 .
1997-01-01 23203
1998-01-01 24976
1999-01-01 27323
2000-01-01 28368
2001-01-01 28318
2002-01-01 28888
2003-01-01 30218
2004-01-01 30921
2005-01-01 30817
2006-01-01 31019
2007-01-01 35633
2008-01-01 33323
2009-01-01 35027
2010-01-01 33227
2011-01-01 34835
2012-01-01 35336
2013-01-01 37972
2014-01-01 34643
2015-01-01 36777
2016-01-01 38042
2017-01-01 38758
2018-01-01 40920
2019-01-01 43391
2020-01-01 45610
2021-01-01 51996
2022-01-01 45752
2023-01-01 49672

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