Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Manatee County, FL
Series ID MHICIUBFL12081A052NCEN
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 2:32 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 25932
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29747
1994-01-01 .
1995-01-01 34200
1996-01-01 .
1997-01-01 37947
1998-01-01 39839
1999-01-01 39498
2000-01-01 41560
2001-01-01 40245
2002-01-01 41267
2003-01-01 42207
2004-01-01 43980
2005-01-01 45796
2006-01-01 47419
2007-01-01 50243
2008-01-01 48312
2009-01-01 47433
2010-01-01 47497
2011-01-01 45426
2012-01-01 49321
2013-01-01 50140
2014-01-01 53218
2015-01-01 52260
2016-01-01 53531
2017-01-01 57429
2018-01-01 61768
2019-01-01 66439
2020-01-01 67250
2021-01-01 70661
2022-01-01 76268
2023-01-01 81903

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