Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cherokee County, AL
Series ID MHICIUBAL01019A052NCEN
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 2:32 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 23327
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26725
1994-01-01 .
1995-01-01 29775
1996-01-01 .
1997-01-01 32002
1998-01-01 32883
1999-01-01 32202
2000-01-01 33868
2001-01-01 32916
2002-01-01 33221
2003-01-01 34244
2004-01-01 35751
2005-01-01 36954
2006-01-01 39832
2007-01-01 40805
2008-01-01 41443
2009-01-01 41092
2010-01-01 37521
2011-01-01 37888
2012-01-01 40846
2013-01-01 40916
2014-01-01 41408
2015-01-01 42162
2016-01-01 45525
2017-01-01 49103
2018-01-01 46349
2019-01-01 51189
2020-01-01 57389
2021-01-01 51154
2022-01-01 57463
2023-01-01 62172

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