Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bracken County, KY
Series ID MHICILBKY21023A052NCEN
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 17768
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20854
1994-01-01 .
1995-01-01 23460
1996-01-01 .
1997-01-01 26108
1998-01-01 28623
1999-01-01 31493
2000-01-01 33142
2001-01-01 33377
2002-01-01 33522
2003-01-01 35054
2004-01-01 35940
2005-01-01 35429
2006-01-01 36511
2007-01-01 37463
2008-01-01 35854
2009-01-01 35353
2010-01-01 38080
2011-01-01 37751
2012-01-01 37331
2013-01-01 38933
2014-01-01 37565
2015-01-01 40222
2016-01-01 42182
2017-01-01 44334
2018-01-01 52793
2019-01-01 46948
2020-01-01 47261
2021-01-01 48514
2022-01-01 51196
2023-01-01 57532

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