Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cullman County, AL
Series ID MHICIUBAL01043A052NCEN
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 24571
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28282
1994-01-01 .
1995-01-01 31887
1996-01-01 .
1997-01-01 33775
1998-01-01 35643
1999-01-01 34495
2000-01-01 36023
2001-01-01 35192
2002-01-01 35150
2003-01-01 36257
2004-01-01 37430
2005-01-01 38881
2006-01-01 38279
2007-01-01 42504
2008-01-01 41517
2009-01-01 40277
2010-01-01 41010
2011-01-01 42727
2012-01-01 40112
2013-01-01 42680
2014-01-01 43091
2015-01-01 41607
2016-01-01 44691
2017-01-01 49865
2018-01-01 48897
2019-01-01 53931
2020-01-01 57155
2021-01-01 59863
2022-01-01 66111
2023-01-01 67695

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