Census
A census would require data to be collected from 54000000 people.
how is data collected and used for the purpose of national statistics
The data collected does not have to be measurable.
A census is the gathering of data from an entire population.
Census
Secondary data is collected by someone other than the researcher, such as census information. Primary data is collected first hand, such as interviews.
A UNIVAC I computer was accepted by the Bureau in 1951
A census would require data to be collected from 54000000 people.
how is data collected and used for the purpose of national statistics
Inferential statistics is not required in a census because a census aims to collect data from every individual in a population, leaving no room for sampling error or uncertainty. The goal of a census is to provide an accurate count or measurement of a specific characteristic within a population, making the need for statistical inference unnecessary. In contrast, inferential statistics is used when data is collected from a sample of a population, and the goal is to make predictions or inferences about the larger population based on that sample.
Additional information collected by a census can include home ownership versus renters, financial information such as household salary
The detailed information in the US Federal Census is not released until 72 years after it is collected. So the 1950 Census details will be released 2022.
Primary data is data collected firsthand, through surveys, interviews, experiments, etc. by the researcher, while secondary data is existing data that has already been collected by someone else. An example of primary data would be survey responses collected by a marketing team for a new product. An example of secondary data would be industry reports or census data obtained from a government website.
✅ Legitimate Data Collection Methods: Opt-in Forms & Landing Pages: Users voluntarily fill out a form in exchange for a resource (e.g., eBook, free trial, webinar). This is permission-based and highly reliable. Surveys & Polls: Leads are gathered through online surveys where users share their contact info and preferences. Data may include industry, job title, budget, etc. Partnerships & Co-Registration: Data is collected through affiliate or media partners during content downloads or registrations. These must be transparently disclosed to the user. Publicly Available Sources: Some providers use public directories (e.g., company websites, LinkedIn, Yellow Pages) and aggregate that information. This is common for B2B leads. Event & Webinar Signups: Leads are gathered during industry events, trade shows, or webinars. These can be highly targeted if the topic aligns with your business. Third-Party Data Vendors: Reputable vendors gather and verify data from multiple compliant sources. Always ask if the data is GDPR/CCPA compliant and when it was last updated. ⚠️ Red Flags to Avoid: Scraped data without consent from LinkedIn, Facebook, or websites — this is often illegal and low-quality. Old or outdated lists that haven’t been verified or updated recently. No disclosure of opt-in method—if they can’t explain how the lead was captured, be cautious. ✅ Key Questions to Ask the Vendor: Was this data collected via opt-in or cold scraping? When was the last time this data was updated or verified? Are users aware their data is being resold or shared?
Planning: Determine the objectives, budget, resources, and timeframe for the census. Enumeration: Collect data from households, including demographic information. Data processing: Clean, store, and analyze the collected data. Dissemination: Communicate the census results to the public and policymakers. Evaluation: Assess the accuracy and completeness of the census data.
Data from the 1911 census of the Island of Ireland was made publicly available in 1961. Subsequent censuses will be publish 100 years after being collected. After 1911, the next census in Ireland was taken in 1926, so it will be published in 2026.