Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Manatee County, FL
Series ID MHICILBFL12081A052NCEN
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 21742
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25507
1994-01-01 .
1995-01-01 28617
1996-01-01 .
1997-01-01 32164
1998-01-01 34062
1999-01-01 34883
2000-01-01 36098
2001-01-01 35306
2002-01-01 36193
2003-01-01 37447
2004-01-01 39007
2005-01-01 42534
2006-01-01 43383
2007-01-01 47638
2008-01-01 44833
2009-01-01 43697
2010-01-01 42483
2011-01-01 41562
2012-01-01 44677
2013-01-01 45992
2014-01-01 50128
2015-01-01 49196
2016-01-01 50009
2017-01-01 52949
2018-01-01 57406
2019-01-01 61863
2020-01-01 59406
2021-01-01 65197
2022-01-01 68084
2023-01-01 76523

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