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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Putnam County, OH
Series ID MHICILBOH39137A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 29570
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35009
1994-01-01 .
1995-01-01 36373
1996-01-01 .
1997-01-01 39624
1998-01-01 40118
1999-01-01 42039
2000-01-01 43836
2001-01-01 43593
2002-01-01 43780
2003-01-01 45221
2004-01-01 45956
2005-01-01 46888
2006-01-01 48225
2007-01-01 52373
2008-01-01 53007
2009-01-01 51444
2010-01-01 50031
2011-01-01 53172
2012-01-01 52552
2013-01-01 57777
2014-01-01 52704
2015-01-01 55095
2016-01-01 57280
2017-01-01 58369
2018-01-01 60299
2019-01-01 69770
2020-01-01 68599
2021-01-01 65648
2022-01-01 75239
2023-01-01 71791
2024-01-01 83245

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