Sample SQL

CREATE DATABASE places;

CREATE TABLE places (
    pc character(4),
    loc character varying,
    state character varying,
    state_name character varying,
    lat numeric,
    long numeric,
    elev numeric,
    placeid character varying,
    placeid_url character varying,
    geomwkt text,
    source character varying,
    area numeric,
    pop bigint,
    pop_m bigint,
    pop_f bigint,
    ap_cat character varying,
    sal_code bigint,
    lga text,
    lga_full jsonb,
    sa2 text,
    sa2_full jsonb,
    sa3 text,
    sa3_full jsonb,
    ced text,
    ced_full jsonb,
    sed text,
    sed_full jsonb,
    geom geometry(PointZ,4326)
);

-- CREATE TABLE places (
--     pc character(4),
--     loc character varying(39),
--     state character varying(3),
--     state_name character varying(28),
--     lat numeric(10,7),
--     long numeric(10,7),
--     elev numeric(22,18),
--     placeid character varying(127),
--     placeid_url character varying(216),
--     geomwkt character varying(52),
--     source character varying(19),
--     area numeric(11,4),
--     pop bigint,
--     pop_m bigint,
--     pop_f bigint,
--     ap_cat character varying(17),
--     sal_code bigint,
--     lga character varying(89),
--     lga_full character varying(571),
--     sa2 character varying(248),
--     sa2_full character varying(1108),
--     sa3 character varying(129),
--     sa3_full character varying(611),
--     ced character varying(56),
--     ced_full character varying(366),
--     sed character varying(125),
--     sed_full character varying(565)
-- );

INSERT INTO places (pc, loc, state, state_name, lat, long, elev, placeid, placeid_url, geomwkt, source, area, pop, pop_m, pop_f, ap_cat, sal_code, lga, lga_full, sa2, sa2_full, sa3, sa3_full, ced, ced_full, sed, sed_full, geom) VALUES ('2145', 'PENDLE HILL', 'NSW', 'New South Wales', -33.8018889, 150.9556279, 40.918136596679700000, 'ChIJZfdaLJmiEmsRIMYyFmh9AQU', 'https://www.google.com/maps/search/?api=1&query=-33.8018889%2C150.9556279&query_place_id=ChIJZfdaLJmiEmsRIMYyFmh9AQU', 'POINT Z (150.9556279 -33.8018889 40.91813659667969)', 'AP, GN, EL, SL', 3.9276, 7743, 3915, 3827, 'Delivery Area', 13193, 'Cumberland, Parramatta', '[{"coverage": 34.52, "lga_code": 16260, "lga_name": "Parramatta"}, {"coverage": 65.48, "lga_code": 12380, "lga_name": "Cumberland"}]', 'Pendle Hill - Girraween, Toongabbie - Constitution Hill', '[{"coverage": 34.52, "sa2_code": 125041493, "sa2_name": "Toongabbie - Constitution Hill"}, {"coverage": 65.48, "sa2_code": 125041588, "sa2_name": "Pendle Hill - Girraween"}]', 'Parramatta', '[{"coverage": 100.00, "sa3_code": 12504, "sa3_name": "Parramatta"}]', 'Greenway, Parramatta', '[{"ced_code": 118, "ced_name": "Greenway", "coverage": 32.53}, {"ced_code": 135, "ced_name": "Parramatta", "coverage": 67.47}]', 'Prospect, Winston Hills', '[{"coverage": 34.52, "sed_code": 10090, "sed_name": "Winston Hills"}, {"coverage": 65.48, "sed_code": 10069, "sed_name": "Prospect"}]', '01010000A0E6100000A534F68094DE62404143A44BA4E640C00000008085754440');
File Type Description
CSV Comma-Separated Values
XML Extensible Markup Language (nested)
XLSX Microsoft Excel Format
JSON List of JSON elements (nested)
geoJSON geoJSON file format - basically the same as the JSON version but made for mapping software. All localities are represented as POINTS.
SQL Text file containing INSERT statements for TABLE, COLUMNS and DATA.
Types used - VARCHAR, TEXT, NUMERIC, BIGINT, JSONB.
All columns are unconstrained.
Compatible with Postgres, SQL Server 2022, Azure...

Alternative column INSERT commands are also included for databases that aren't happy with the above types or lack of constraints:
Types used - VARCHAR, NUMERIC, BIGINT. All columns constrained to maximum size\/length occuring in the table.

If neither work for your specific database software then the CSV might be your best option.