Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pickens County, AL
Series ID MHICIUBAL01107A052NCEN
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 19432
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22695
1994-01-01 .
1995-01-01 26421
1996-01-01 .
1997-01-01 27516
1998-01-01 28516
1999-01-01 27547
2000-01-01 29067
2001-01-01 28339
2002-01-01 28007
2003-01-01 28579
2004-01-01 29476
2005-01-01 31236
2006-01-01 32434
2007-01-01 34519
2008-01-01 33771
2009-01-01 32564
2010-01-01 33756
2011-01-01 34098
2012-01-01 34115
2013-01-01 35362
2014-01-01 35142
2015-01-01 36459
2016-01-01 39608
2017-01-01 41986
2018-01-01 41507
2019-01-01 44139
2020-01-01 48024
2021-01-01 48669
2022-01-01 50647

Subscribe to the FRED newsletter


Follow us

Back to Top