Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Erie County, OH
Series ID MHICILBOH39043A052NCEN
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 2:32 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 28287
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31299
1994-01-01 .
1995-01-01 33482
1996-01-01 .
1997-01-01 36491
1998-01-01 36944
1999-01-01 38474
2000-01-01 39796
2001-01-01 39546
2002-01-01 39643
2003-01-01 41134
2004-01-01 41840
2005-01-01 40621
2006-01-01 43281
2007-01-01 45827
2008-01-01 44682
2009-01-01 41425
2010-01-01 40890
2011-01-01 43018
2012-01-01 42772
2013-01-01 44344
2014-01-01 45574
2015-01-01 45907
2016-01-01 47170
2017-01-01 51683
2018-01-01 49149
2019-01-01 56047
2020-01-01 61304
2021-01-01 55530
2022-01-01 62754
2023-01-01 59074

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