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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chilton County, AL
Series ID MHICILBAL01021A052NCEN
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 2:33 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 18883
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22426
1994-01-01 .
1995-01-01 25441
1996-01-01 .
1997-01-01 27418
1998-01-01 28912
1999-01-01 30219
2000-01-01 31224
2001-01-01 30711
2002-01-01 30927
2003-01-01 32117
2004-01-01 33351
2005-01-01 33271
2006-01-01 33810
2007-01-01 35769
2008-01-01 36674
2009-01-01 36096
2010-01-01 35289
2011-01-01 35803
2012-01-01 36341
2013-01-01 38501
2014-01-01 37827
2015-01-01 38667
2016-01-01 40078
2017-01-01 41678
2018-01-01 42940
2019-01-01 45179
2020-01-01 45063
2021-01-01 49687
2022-01-01 57385
2023-01-01 55581

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