Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Baker County, FL
Series ID MHICILBFL12003A052NCEN
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 3:13 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 23146
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25355
1994-01-01 .
1995-01-01 28128
1996-01-01 .
1997-01-01 29300
1998-01-01 30934
1999-01-01 33996
2000-01-01 36239
2001-01-01 35516
2002-01-01 35862
2003-01-01 36864
2004-01-01 39028
2005-01-01 39393
2006-01-01 40751
2007-01-01 41505
2008-01-01 44038
2009-01-01 41828
2010-01-01 41796
2011-01-01 39702
2012-01-01 42085
2013-01-01 42029
2014-01-01 42324
2015-01-01 46446
2016-01-01 46981
2017-01-01 46202
2018-01-01 47505
2019-01-01 55713
2020-01-01 52886
2021-01-01 53895
2022-01-01 59323
2023-01-01 62443

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