Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hale County, AL
Series ID MHICILBAL01065A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:55 PM 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 10624
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14452
1994-01-01 .
1995-01-01 16686
1996-01-01 .
1997-01-01 17560
1998-01-01 18862
1999-01-01 23115
2000-01-01 24447
2001-01-01 23376
2002-01-01 23424
2003-01-01 24515
2004-01-01 25171
2005-01-01 25059
2006-01-01 26715
2007-01-01 28520
2008-01-01 28161
2009-01-01 27131
2010-01-01 28842
2011-01-01 28366
2012-01-01 28104
2013-01-01 30908
2014-01-01 29845
2015-01-01 31990
2016-01-01 31693
2017-01-01 31223
2018-01-01 30954
2019-01-01 36247
2020-01-01 35250
2021-01-01 37073
2022-01-01 39148

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