Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harrison County, KY
Series ID MHICILBKY21097A052NCEN
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 20169
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24138
1994-01-01 .
1995-01-01 25831
1996-01-01 .
1997-01-01 28881
1998-01-01 30776
1999-01-01 33237
2000-01-01 34533
2001-01-01 34035
2002-01-01 34085
2003-01-01 35513
2004-01-01 35853
2005-01-01 35885
2006-01-01 37780
2007-01-01 37785
2008-01-01 38375
2009-01-01 38391
2010-01-01 38277
2011-01-01 35547
2012-01-01 34952
2013-01-01 38597
2014-01-01 37570
2015-01-01 42411
2016-01-01 44844
2017-01-01 44760
2018-01-01 46722
2019-01-01 45232
2020-01-01 48279
2021-01-01 52195
2022-01-01 54408
2023-01-01 56827

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