Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Okeechobee County, FL
Series ID MHICILBFL12093A052NCEN
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 17066
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19431
1994-01-01 .
1995-01-01 21109
1996-01-01 .
1997-01-01 23001
1998-01-01 23470
1999-01-01 26498
2000-01-01 27716
2001-01-01 26916
2002-01-01 26911
2003-01-01 27935
2004-01-01 29353
2005-01-01 30142
2006-01-01 34215
2007-01-01 34233
2008-01-01 32857
2009-01-01 32012
2010-01-01 32412
2011-01-01 30635
2012-01-01 31595
2013-01-01 33635
2014-01-01 33871
2015-01-01 33113
2016-01-01 35341
2017-01-01 39561
2018-01-01 38239
2019-01-01 40473
2020-01-01 41278
2021-01-01 42074
2022-01-01 45854

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