NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cedar County, IA Series ID: MHICIUBIA19031A052NCEN 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 (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 29879 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35389 1994-01-01 . 1995-01-01 38454 1996-01-01 . 1997-01-01 43704 1998-01-01 45250 1999-01-01 45282 2000-01-01 47853 2001-01-01 47482 2002-01-01 48116 2003-01-01 48699 2004-01-01 50850 2005-01-01 49566 2006-01-01 52746 2007-01-01 56734 2008-01-01 60356 2009-01-01 56709 2010-01-01 59105 2011-01-01 60690 2012-01-01 61078 2013-01-01 60369 2014-01-01 64872 2015-01-01 64222 2016-01-01 69084 2017-01-01 69105 2018-01-01 74148 2019-01-01 76574 2020-01-01 73689 2021-01-01 83225 2022-01-01 78529