Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dallas County, AL
Series ID MHICIUBAL01047A052NCEN
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 3:12 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 18109
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20926
1994-01-01 .
1995-01-01 24112
1996-01-01 .
1997-01-01 26304
1998-01-01 26939
1999-01-01 25580
2000-01-01 26794
2001-01-01 25851
2002-01-01 25375
2003-01-01 26003
2004-01-01 26531
2005-01-01 26724
2006-01-01 28335
2007-01-01 30058
2008-01-01 30541
2009-01-01 29283
2010-01-01 28516
2011-01-01 28000
2012-01-01 29282
2013-01-01 29812
2014-01-01 28888
2015-01-01 32298
2016-01-01 32393
2017-01-01 34068
2018-01-01 36463
2019-01-01 37741
2020-01-01 42677
2021-01-01 36867
2022-01-01 39196
2023-01-01 43785

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