Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, FL
Series ID MHICILBFL12079A052NCEN
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 14942
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18334
1994-01-01 .
1995-01-01 20235
1996-01-01 .
1997-01-01 21862
1998-01-01 22795
1999-01-01 24135
2000-01-01 25014
2001-01-01 24248
2002-01-01 23977
2003-01-01 24915
2004-01-01 26443
2005-01-01 27781
2006-01-01 29413
2007-01-01 36728
2008-01-01 29379
2009-01-01 29430
2010-01-01 29258
2011-01-01 28578
2012-01-01 28595
2013-01-01 27621
2014-01-01 29470
2015-01-01 31231
2016-01-01 30125
2017-01-01 33535
2018-01-01 34171
2019-01-01 34482
2020-01-01 35050
2021-01-01 38424
2022-01-01 40501
2023-01-01 47536

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