Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Seneca County, OH
Series ID MHICILBOH39147A052NCEN
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 1:53 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 24131
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29038
1994-01-01 .
1995-01-01 29121
1996-01-01 .
1997-01-01 31144
1998-01-01 32237
1999-01-01 34109
2000-01-01 35595
2001-01-01 34999
2002-01-01 35009
2003-01-01 36354
2004-01-01 37172
2005-01-01 38563
2006-01-01 39929
2007-01-01 41025
2008-01-01 41662
2009-01-01 37570
2010-01-01 40149
2011-01-01 36426
2012-01-01 40959
2013-01-01 43759
2014-01-01 41939
2015-01-01 45148
2016-01-01 46250
2017-01-01 44370
2018-01-01 48541
2019-01-01 50341
2020-01-01 52412
2021-01-01 53924
2022-01-01 60626

Subscribe to the FRED newsletter


Follow us

Back to Top