Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ballard County, KY
Series ID MHICILBKY21007A052NCEN
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 19051
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22067
1994-01-01 .
1995-01-01 23862
1996-01-01 .
1997-01-01 27466
1998-01-01 29991
1999-01-01 30755
2000-01-01 31491
2001-01-01 31358
2002-01-01 31753
2003-01-01 32898
2004-01-01 33533
2005-01-01 33188
2006-01-01 34820
2007-01-01 35311
2008-01-01 33548
2009-01-01 36098
2010-01-01 37831
2011-01-01 36855
2012-01-01 38186
2013-01-01 38597
2014-01-01 40900
2015-01-01 40248
2016-01-01 40232
2017-01-01 39663
2018-01-01 42991
2019-01-01 42262
2020-01-01 41954
2021-01-01 47617
2022-01-01 49724
2023-01-01 66822

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