Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Randolph County, AL
Series ID MHICIUBAL01111A052NCEN
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 1:53 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 21113
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24876
1994-01-01 .
1995-01-01 26986
1996-01-01 .
1997-01-01 28837
1998-01-01 30587
1999-01-01 29799
2000-01-01 31229
2001-01-01 30230
2002-01-01 30533
2003-01-01 31321
2004-01-01 32974
2005-01-01 35729
2006-01-01 35691
2007-01-01 37648
2008-01-01 37644
2009-01-01 37241
2010-01-01 34877
2011-01-01 37806
2012-01-01 37960
2013-01-01 38198
2014-01-01 40002
2015-01-01 40973
2016-01-01 43891
2017-01-01 44899
2018-01-01 44838
2019-01-01 47592
2020-01-01 52699
2021-01-01 51444
2022-01-01 55290

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