Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Colquitt County, GA
Series ID MHICIUBGA13071A052NCEN
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 1:11 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 21710
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24538
1994-01-01 .
1995-01-01 27906
1996-01-01 .
1997-01-01 29136
1998-01-01 30374
1999-01-01 29244
2000-01-01 30861
2001-01-01 29496
2002-01-01 29061
2003-01-01 29533
2004-01-01 29851
2005-01-01 31785
2006-01-01 31069
2007-01-01 35780
2008-01-01 37264
2009-01-01 33237
2010-01-01 34224
2011-01-01 33319
2012-01-01 35608
2013-01-01 35724
2014-01-01 36129
2015-01-01 37209
2016-01-01 38040
2017-01-01 39758
2018-01-01 41960
2019-01-01 46372
2020-01-01 47584
2021-01-01 49315
2022-01-01 54456

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