Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tama County, IA Series ID: MHICIUBIA19171A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 26835 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31517 1994-01-01 . 1995-01-01 35744 1996-01-01 . 1997-01-01 37878 1998-01-01 39146 1999-01-01 39548 2000-01-01 41638 2001-01-01 40961 2002-01-01 41430 2003-01-01 41653 2004-01-01 45373 2005-01-01 48250 2006-01-01 46477 2007-01-01 48392 2008-01-01 50835 2009-01-01 48873 2010-01-01 52637 2011-01-01 52718 2012-01-01 50583 2013-01-01 57659 2014-01-01 58005 2015-01-01 61841 2016-01-01 54156 2017-01-01 56979 2018-01-01 62252 2019-01-01 61620 2020-01-01 64078 2021-01-01 66363 2022-01-01 71322