Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morgan County, KY
Series ID MHICILBKY21175A052NCEN
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 11801
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14147
1994-01-01 .
1995-01-01 15720
1996-01-01 .
1997-01-01 17475
1998-01-01 19345
1999-01-01 21141
2000-01-01 21454
2001-01-01 21118
2002-01-01 21640
2003-01-01 22825
2004-01-01 23524
2005-01-01 23744
2006-01-01 25576
2007-01-01 25788
2008-01-01 26466
2009-01-01 26462
2010-01-01 27754
2011-01-01 26458
2012-01-01 27893
2013-01-01 28749
2014-01-01 27662
2015-01-01 28312
2016-01-01 30414
2017-01-01 30396
2018-01-01 31881
2019-01-01 33125
2020-01-01 32827
2021-01-01 44191
2022-01-01 37284
2023-01-01 39959

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