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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Santa Rosa County, FL
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 1:11 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.
1989-01-01 28554
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34189
1994-01-01 .
1995-01-01 39530
1996-01-01 .
1997-01-01 40165
1998-01-01 42054
1999-01-01 43381
2000-01-01 45815
2001-01-01 44942
2002-01-01 46108
2003-01-01 47470
2004-01-01 49292
2005-01-01 49634
2006-01-01 54756
2007-01-01 53850
2008-01-01 57230
2009-01-01 56749
2010-01-01 54280
2011-01-01 56953
2012-01-01 61983
2013-01-01 58078
2014-01-01 62405
2015-01-01 61810
2016-01-01 65847
2017-01-01 68229
2018-01-01 72570
2019-01-01 71271
2020-01-01 75407
2021-01-01 84374
2022-01-01 88056

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