Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, FL
Series ID MHICIUBFL12133A052NCEN
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.
DATE VALUE
1989-01-01 19460
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23110
1994-01-01 .
1995-01-01 27308
1996-01-01 .
1997-01-01 28325
1998-01-01 29522
1999-01-01 29291
2000-01-01 30749
2001-01-01 29410
2002-01-01 29669
2003-01-01 30473
2004-01-01 32126
2005-01-01 33931
2006-01-01 35919
2007-01-01 37884
2008-01-01 37686
2009-01-01 39023
2010-01-01 38155
2011-01-01 38221
2012-01-01 39325
2013-01-01 38767
2014-01-01 39865
2015-01-01 39713
2016-01-01 37339
2017-01-01 39420
2018-01-01 43220
2019-01-01 46632
2020-01-01 50682
2021-01-01 53189
2022-01-01 53270

Subscribe to the FRED newsletter


Follow us

Back to Top