Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coosa County, AL
Series ID MHICILBAL01037A052NCEN
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 16941
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20083
1994-01-01 .
1995-01-01 21925
1996-01-01 .
1997-01-01 23432
1998-01-01 24231
1999-01-01 26475
2000-01-01 27759
2001-01-01 27158
2002-01-01 27039
2003-01-01 27990
2004-01-01 28340
2005-01-01 28246
2006-01-01 29616
2007-01-01 31489
2008-01-01 32754
2009-01-01 31742
2010-01-01 30616
2011-01-01 31142
2012-01-01 29747
2013-01-01 31727
2014-01-01 31183
2015-01-01 32500
2016-01-01 33189
2017-01-01 38888
2018-01-01 38174
2019-01-01 37473
2020-01-01 40042
2021-01-01 41569
2022-01-01 43534

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