Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Columbia County, GA
Series ID MHICILBGA13073A052NCEN
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 2:33 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 36054
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43873
1994-01-01 .
1995-01-01 46229
1996-01-01 .
1997-01-01 47223
1998-01-01 50206
1999-01-01 51229
2000-01-01 52987
2001-01-01 53300
2002-01-01 54042
2003-01-01 55597
2004-01-01 57737
2005-01-01 60696
2006-01-01 60219
2007-01-01 64813
2008-01-01 62351
2009-01-01 65695
2010-01-01 60690
2011-01-01 60401
2012-01-01 64935
2013-01-01 68178
2014-01-01 64634
2015-01-01 70157
2016-01-01 69416
2017-01-01 71394
2018-01-01 77628
2019-01-01 82963
2020-01-01 84237
2021-01-01 80406
2022-01-01 88213
2023-01-01 90845

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