Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Santa Rosa County, FL
Series ID MHICILBFL12113A052NCEN
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 24138
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29789
1994-01-01 .
1995-01-01 33528
1996-01-01 .
1997-01-01 34220
1998-01-01 36150
1999-01-01 38083
2000-01-01 39659
2001-01-01 39346
2002-01-01 40317
2003-01-01 41970
2004-01-01 43486
2005-01-01 44376
2006-01-01 50150
2007-01-01 48020
2008-01-01 51117
2009-01-01 50088
2010-01-01 48136
2011-01-01 49357
2012-01-01 57725
2013-01-01 51674
2014-01-01 54769
2015-01-01 56768
2016-01-01 59489
2017-01-01 62639
2018-01-01 66512
2019-01-01 61007
2020-01-01 67759
2021-01-01 77300
2022-01-01 77018
2023-01-01 84800

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