Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Osceola County, FL
Series ID MHICILBFL12097A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:12 PM 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 21592
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25722
1994-01-01 .
1995-01-01 27965
1996-01-01 .
1997-01-01 29552
1998-01-01 30547
1999-01-01 32939
2000-01-01 35548
2001-01-01 34899
2002-01-01 35004
2003-01-01 36588
2004-01-01 37277
2005-01-01 39279
2006-01-01 42151
2007-01-01 43864
2008-01-01 43731
2009-01-01 40347
2010-01-01 40366
2011-01-01 38536
2012-01-01 41125
2013-01-01 39329
2014-01-01 40456
2015-01-01 42925
2016-01-01 48693
2017-01-01 46191
2018-01-01 47398
2019-01-01 49435
2020-01-01 57001
2021-01-01 57257
2022-01-01 60122

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