Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pickens County, GA
Series ID MHICIUBGA13227A052NCEN
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 26504
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31349
1994-01-01 .
1995-01-01 37097
1996-01-01 .
1997-01-01 40015
1998-01-01 42850
1999-01-01 44065
2000-01-01 46218
2001-01-01 45426
2002-01-01 46247
2003-01-01 47905
2004-01-01 49545
2005-01-01 51611
2006-01-01 51078
2007-01-01 55488
2008-01-01 57000
2009-01-01 55454
2010-01-01 52671
2011-01-01 55305
2012-01-01 54652
2013-01-01 57418
2014-01-01 55377
2015-01-01 61612
2016-01-01 63341
2017-01-01 66432
2018-01-01 70502
2019-01-01 70352
2020-01-01 75156
2021-01-01 80410
2022-01-01 78293

Subscribe to the FRED newsletter


Follow us

Back to Top