Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fayette County, AL
Series ID MHICIUBAL01057A052NCEN
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 23690
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26044
1994-01-01 .
1995-01-01 29507
1996-01-01 .
1997-01-01 31671
1998-01-01 32379
1999-01-01 31131
2000-01-01 32625
2001-01-01 31712
2002-01-01 31312
2003-01-01 32120
2004-01-01 32556
2005-01-01 34556
2006-01-01 37218
2007-01-01 38982
2008-01-01 37410
2009-01-01 37150
2010-01-01 35647
2011-01-01 35529
2012-01-01 38683
2013-01-01 39057
2014-01-01 38940
2015-01-01 40227
2016-01-01 42365
2017-01-01 43478
2018-01-01 43484
2019-01-01 49241
2020-01-01 51743
2021-01-01 51629
2022-01-01 54454
2023-01-01 54879

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