Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monroe County, FL
Series ID MHICILBFL12087A052NCEN
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 3:13 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 23366
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28509
1994-01-01 .
1995-01-01 30441
1996-01-01 .
1997-01-01 33352
1998-01-01 35551
1999-01-01 37328
2000-01-01 39438
2001-01-01 39403
2002-01-01 38922
2003-01-01 38805
2004-01-01 39654
2005-01-01 44432
2006-01-01 47690
2007-01-01 50696
2008-01-01 49001
2009-01-01 47390
2010-01-01 47833
2011-01-01 48573
2012-01-01 49149
2013-01-01 47279
2014-01-01 54575
2015-01-01 54545
2016-01-01 61065
2017-01-01 58808
2018-01-01 62049
2019-01-01 62132
2020-01-01 61985
2021-01-01 62888
2022-01-01 75209
2023-01-01 78363

Subscribe to the FRED newsletter


Follow us

Back to Top