Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Burke County, GA
Series ID MHICILBGA13033A052NCEN
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 14215
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17456
1994-01-01 .
1995-01-01 20247
1996-01-01 .
1997-01-01 20676
1998-01-01 21677
1999-01-01 24845
2000-01-01 26126
2001-01-01 25336
2002-01-01 25461
2003-01-01 27118
2004-01-01 27356
2005-01-01 26870
2006-01-01 28180
2007-01-01 30108
2008-01-01 29229
2009-01-01 27941
2010-01-01 27818
2011-01-01 28553
2012-01-01 29399
2013-01-01 29533
2014-01-01 32078
2015-01-01 33507
2016-01-01 33462
2017-01-01 37783
2018-01-01 39087
2019-01-01 37668
2020-01-01 40925
2021-01-01 41987
2022-01-01 43428
2023-01-01 45962

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